2023
|
Ethabet, Haifa; Dadi, Leila; Raissi, Tarek; Aoun, Mohamed L∞ Set-membership Estimation for Continuous-time Switched Linear Systems Conférence 2023. @conference{Ethabet2023b,
title = {L∞ Set-membership Estimation for Continuous-time Switched Linear Systems},
author = {Haifa Ethabet and Leila Dadi and Tarek Raissi and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182931405\&doi=10.1109%2fIW_MSS59200.2023.10369668\&partnerID=40\&md5=2fb780affae1b8628f3f526c9cabfef7},
doi = {10.1109/IW_MSS59200.2023.10369668},
year = {2023},
date = {2023-01-01},
journal = {2023 IEEE International Workshop on Mechatronics Systems Supervision, IW_MSS 2023},
abstract = {In this work, we focuses on the problem of designing an interval state estimation for continuous-time Switched Linear Systems (SLS) in the Unknown But Bounded Error (UBBE) context. To do so, we design a new structure of interval observers by introducing weighted matrices not only to give more degrees of design freedom but also to attenuate the conservatism caused by uncertainties. Observer gains are derived from the solution of Linear Matrix Inequalities (LMIs), based on the use of a common Lyapunov function, to ensure cooperativity and stability. An L∞ technique is then introduced to compensate the measurement noise and disturbances' effects and to enhance the precision of interval estimation. Finally, numerical simulations are given, evaluating the proposed methodology and demonstrating its effectiveness. © 2023 IEEE.},
keywords = {Bounded error context, Continous time, Continuous time systems, Continuous-time switched system, Interval observers, Linear matrix inequalities, Linear systems, Lyapunov functions, L∞ technique, matrix, Set-membership estimation, State estimation, Switched linear system, Switched system, Unknown but bounded},
pubstate = {published},
tppubtype = {conference}
}
In this work, we focuses on the problem of designing an interval state estimation for continuous-time Switched Linear Systems (SLS) in the Unknown But Bounded Error (UBBE) context. To do so, we design a new structure of interval observers by introducing weighted matrices not only to give more degrees of design freedom but also to attenuate the conservatism caused by uncertainties. Observer gains are derived from the solution of Linear Matrix Inequalities (LMIs), based on the use of a common Lyapunov function, to ensure cooperativity and stability. An L∞ technique is then introduced to compensate the measurement noise and disturbances’ effects and to enhance the precision of interval estimation. Finally, numerical simulations are given, evaluating the proposed methodology and demonstrating its effectiveness. © 2023 IEEE. |
Ethabet, Haifa; Dadi, Leila; Raissi, Tarek; Aoun, Mohamed L∞ Set-membership Estimation for Continuous-time Switched Linear Systems Conférence 2023. @conference{Ethabet2023,
title = {L∞ Set-membership Estimation for Continuous-time Switched Linear Systems},
author = {Haifa Ethabet and Leila Dadi and Tarek Raissi and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182931405\&doi=10.1109%2fIW_MSS59200.2023.10369668\&partnerID=40\&md5=2fb780affae1b8628f3f526c9cabfef7},
doi = {10.1109/IW_MSS59200.2023.10369668},
year = {2023},
date = {2023-01-01},
journal = {2023 IEEE International Workshop on Mechatronics Systems Supervision, IW_MSS 2023},
abstract = {In this work, we focuses on the problem of designing an interval state estimation for continuous-time Switched Linear Systems (SLS) in the Unknown But Bounded Error (UBBE) context. To do so, we design a new structure of interval observers by introducing weighted matrices not only to give more degrees of design freedom but also to attenuate the conservatism caused by uncertainties. Observer gains are derived from the solution of Linear Matrix Inequalities (LMIs), based on the use of a common Lyapunov function, to ensure cooperativity and stability. An L∞ technique is then introduced to compensate the measurement noise and disturbances' effects and to enhance the precision of interval estimation. Finally, numerical simulations are given, evaluating the proposed methodology and demonstrating its effectiveness. © 2023 IEEE.},
keywords = {Bounded error context, Continous time, Continuous time systems, Continuous-time switched system, Interval observers, Linear matrix inequalities, Linear systems, Lyapunov functions, L∞ technique, matrix, Set-membership estimation, State estimation, Switched linear system, Switched system, Unknown but bounded},
pubstate = {published},
tppubtype = {conference}
}
In this work, we focuses on the problem of designing an interval state estimation for continuous-time Switched Linear Systems (SLS) in the Unknown But Bounded Error (UBBE) context. To do so, we design a new structure of interval observers by introducing weighted matrices not only to give more degrees of design freedom but also to attenuate the conservatism caused by uncertainties. Observer gains are derived from the solution of Linear Matrix Inequalities (LMIs), based on the use of a common Lyapunov function, to ensure cooperativity and stability. An L∞ technique is then introduced to compensate the measurement noise and disturbances’ effects and to enhance the precision of interval estimation. Finally, numerical simulations are given, evaluating the proposed methodology and demonstrating its effectiveness. © 2023 IEEE. |
2022
|
Dadi, Leila; Ethabet, Haifa; Aoun, Mohamed Set-Membership Fault Detection for Discrete-time Switched Linear Systems Conférence 2022, (Cited by: 0). @conference{Dadi2022190b,
title = {Set-Membership Fault Detection for Discrete-time Switched Linear Systems},
author = {Leila Dadi and Haifa Ethabet and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143822450\&doi=10.1109%2fSSD54932.2022.9955834\&partnerID=40\&md5=845297a35126246541ad5d43c4f68b5e},
doi = {10.1109/SSD54932.2022.9955834},
year = {2022},
date = {2022-01-01},
journal = {2022 19th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2022},
pages = {190 \textendash 194},
abstract = {This work deals with Fault Detection (FD) for a class of discrete-time switched linear systems with actuator faults subject to bounded disturbances. First, based on cooperativity and stability conditions and under the assumption that disturbances and measurement noise are unknown but bounded, upper and lower bounds of the state are calculated using an interval observer. The design conditions of the observer are expressed in terms of Linear Matrix Inequalities (LMIs). Second, a fault detection decision is developed to indicate the presence of faults using interval analysis. Simulation results are provided to illustrate the performance of the proposed fault detection approach. © 2022 IEEE.},
note = {Cited by: 0},
keywords = {Actuator fault, Actuators, Bounded disturbances, Cooperativity, Discrete time, Fault detection, Faults detection, Interval observers, Linear matrix inequalities, Linear systems, Set-membership, Stability condition, Switched linear system, Switched system},
pubstate = {published},
tppubtype = {conference}
}
This work deals with Fault Detection (FD) for a class of discrete-time switched linear systems with actuator faults subject to bounded disturbances. First, based on cooperativity and stability conditions and under the assumption that disturbances and measurement noise are unknown but bounded, upper and lower bounds of the state are calculated using an interval observer. The design conditions of the observer are expressed in terms of Linear Matrix Inequalities (LMIs). Second, a fault detection decision is developed to indicate the presence of faults using interval analysis. Simulation results are provided to illustrate the performance of the proposed fault detection approach. © 2022 IEEE. |
Lamouchi, Rihab; Amairi, Messaoud; Raissi, Tarek; Aoun, Mohamed Robust Fault Detection based on Zonotopic Observers for Linear Parameter Varying Systems Conférence 2022, (Cited by: 1). @conference{Lamouchi2022773b,
title = {Robust Fault Detection based on Zonotopic Observers for Linear Parameter Varying Systems},
author = {Rihab Lamouchi and Messaoud Amairi and Tarek Raissi and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85136283232\&doi=10.1109%2fMED54222.2022.9837269\&partnerID=40\&md5=0f45c413f1fc67c6778e347ed65a2432},
doi = {10.1109/MED54222.2022.9837269},
year = {2022},
date = {2022-01-01},
journal = {2022 30th Mediterranean Conference on Control and Automation, MED 2022},
pages = {773 \textendash 778},
abstract = {In this paper, zonotopic fault detection methodology is proposed for a class of discrete-Time Linear Parameter Varying (LPV) systems with sensor faults. The disturbances and measurement noise are assumed to be unknown but bounded by zonotope. First, a fault detection observer is designed based on L? performance to attenuate the effects of the uncertainties and to improve the accuracy of the proposed residual framers. Then, the fault sensitivity is taken into account by measuring H-performance and zonotopic residual evaluation is presented. Finally, the effectiveness of the proposed method is demonstrated by a numerical example. © 2022 IEEE.},
note = {Cited by: 1},
keywords = {Discrete time, Fault detection, Faults detection, Linear parameter varying systems, Linear systems, Measurement Noise, Numerical methods, Performance, Robust fault detection, Sensors faults, Uncertainty, Unknown but bounded, Zonotopes},
pubstate = {published},
tppubtype = {conference}
}
In this paper, zonotopic fault detection methodology is proposed for a class of discrete-Time Linear Parameter Varying (LPV) systems with sensor faults. The disturbances and measurement noise are assumed to be unknown but bounded by zonotope. First, a fault detection observer is designed based on L? performance to attenuate the effects of the uncertainties and to improve the accuracy of the proposed residual framers. Then, the fault sensitivity is taken into account by measuring H-performance and zonotopic residual evaluation is presented. Finally, the effectiveness of the proposed method is demonstrated by a numerical example. © 2022 IEEE. |
Dadi, Leila; Dinh, Thach Ngoc; Raïssi, Tarek; Ethabet, Haifa; Aoun, Mohamed New Finite-Time Observers design for a Discrete-Time Switched Linear System Conférence vol. 55, no. 40, 2022, (Cited by: 0; All Open Access, Bronze Open Access, Green Open Access). @conference{Dadi202273b,
title = {New Finite-Time Observers design for a Discrete-Time Switched Linear System},
author = {Leila Dadi and Thach Ngoc Dinh and Tarek Ra\"{i}ssi and Haifa Ethabet and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159376419\&doi=10.1016%2fj.ifacol.2023.01.051\&partnerID=40\&md5=949c6c46f6060c2b436e93abc952c158},
doi = {10.1016/j.ifacol.2023.01.051},
year = {2022},
date = {2022-01-01},
journal = {IFAC-PapersOnLine},
volume = {55},
number = {40},
pages = {73 \textendash 78},
abstract = {In this work, we consider a discrete-time switched linear system. A novel approach is introduced to estimate its state in a finite fixed time which can be arbitrarily chosen and is independent of the initial state. For cases where the additive disturbance and measurement noise are known, we provide an exact estimation. Otherwise, a finite-time interval observer is designed. The crucial idea is based on using past values of the input and output of the studied system and a minimal dwell time condition. Simulation results are provided to illustrate the effectiveness of the proposed techniques in different scenarios of finite time choices. Copyright © 2022 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/)},
note = {Cited by: 0; All Open Access, Bronze Open Access, Green Open Access},
keywords = {Additive disturbance, Approximate estimation, Discrete time, Exact estimation, Finite-time observers, Fixed time, Initial state, Linear systems, Measurement Noise, Observers designs, Switched linear system},
pubstate = {published},
tppubtype = {conference}
}
In this work, we consider a discrete-time switched linear system. A novel approach is introduced to estimate its state in a finite fixed time which can be arbitrarily chosen and is independent of the initial state. For cases where the additive disturbance and measurement noise are known, we provide an exact estimation. Otherwise, a finite-time interval observer is designed. The crucial idea is based on using past values of the input and output of the studied system and a minimal dwell time condition. Simulation results are provided to illustrate the effectiveness of the proposed techniques in different scenarios of finite time choices. Copyright © 2022 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
Lamouchi, Rihab; Amairi, Messaoud; Raïssi, Tarek; Aoun, Mohamed Active fault tolerant control using zonotopic techniques for linear parameter varying systems: Application to wind turbine system Article de journal Dans: European Journal of Control, vol. 67, 2022, (Cited by: 3). @article{Lamouchi2022g,
title = {Active fault tolerant control using zonotopic techniques for linear parameter varying systems: Application to wind turbine system},
author = {Rihab Lamouchi and Messaoud Amairi and Tarek Ra\"{i}ssi and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133903606\&doi=10.1016%2fj.ejcon.2022.100700\&partnerID=40\&md5=282e320114ffa732fd805f3ce439ad7d},
doi = {10.1016/j.ejcon.2022.100700},
year = {2022},
date = {2022-01-01},
journal = {European Journal of Control},
volume = {67},
abstract = {This paper deals with the design of an Active Fault Tolerant Control (AFTC) approach for polytopic uncertain Linear Parameter-Varying (LPV) systems subject to uncertainties and actuator faults. First, a fault estimation method is developed by integrating robust observer design with zonotopic techniques. The proposed observer is developed using L∞ norm to attenuate the effects of the uncertainties and to improve the accuracy of the estimation. Then, an AFTC strategy is used to compensate actuator fault effect and maintain system stability. Finally, the effectiveness of the proposed method is demonstrated by a case study on a 4.8MW wind turbine benchmark system. © 2022 European Control Association},
note = {Cited by: 3},
keywords = {Active fault tolerant control, Actuator fault, Actuator fault estimation, Actuators, Discrete time, Discrete time control systems, Discrete-time linear parameter-varying system, Fault estimation, Fault tolerance, Faulting, Linear parameter varying systems, Linear systems, L∞ norm, System stability, Uncertainty analysis, Wind turbine systems, Wind turbines, Zonotopic technique, ∞norm},
pubstate = {published},
tppubtype = {article}
}
This paper deals with the design of an Active Fault Tolerant Control (AFTC) approach for polytopic uncertain Linear Parameter-Varying (LPV) systems subject to uncertainties and actuator faults. First, a fault estimation method is developed by integrating robust observer design with zonotopic techniques. The proposed observer is developed using L∞ norm to attenuate the effects of the uncertainties and to improve the accuracy of the estimation. Then, an AFTC strategy is used to compensate actuator fault effect and maintain system stability. Finally, the effectiveness of the proposed method is demonstrated by a case study on a 4.8MW wind turbine benchmark system. © 2022 European Control Association |
Lamouchi, Rihab; Raissi, Tarek; Amairi, Messaoud; Aoun, Mohamed On interval observer design for active Fault Tolerant Control of Linear Parameter-Varying systems Article de journal Dans: Systems and Control Letters, vol. 164, 2022, (Cited by: 5). @article{Lamouchi2022h,
title = {On interval observer design for active Fault Tolerant Control of Linear Parameter-Varying systems},
author = {Rihab Lamouchi and Tarek Raissi and Messaoud Amairi and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130126718\&doi=10.1016%2fj.sysconle.2022.105218\&partnerID=40\&md5=a6a5dac4c11a8622ed641e0369da31a6},
doi = {10.1016/j.sysconle.2022.105218},
year = {2022},
date = {2022-01-01},
journal = {Systems and Control Letters},
volume = {164},
abstract = {This paper proposes an active Fault Tolerant Control (FTC) scheme for polytopic uncertain Linear Parameter-Varying (LPV) systems subject to uncertainties and actuator faults. First, a fault estimation interval observer is designed to estimate the system state and the actuator fault. A novel approach is developed using the L∞ norm to attenuate the effects of the uncertainties and to improve the accuracy of the proposed observer. Then, based on the fault estimation information, the FTC strategy is designed using a linear state feedback control law and H∞ technique to compensate actuator faults and maintain system performance and stability, even under faulty conditions. Finally, the effectiveness of the proposed method is demonstrated by its application to a vehicle lateral dynamic nonlinear model. © 2022 Elsevier B.V.},
note = {Cited by: 5},
keywords = {Active fault tolerant control, Actuator fault, Actuator fault estimation, Actuators, Discrete time, Discrete time control systems, Discrete-time linear parameter-varying system, Fault estimation, Fault tolerance, Faulting, Interval observers, Linear parameter varying systems, Linear systems, L∞ norm, State feedback, Uncertainty analysis, ∞norm},
pubstate = {published},
tppubtype = {article}
}
This paper proposes an active Fault Tolerant Control (FTC) scheme for polytopic uncertain Linear Parameter-Varying (LPV) systems subject to uncertainties and actuator faults. First, a fault estimation interval observer is designed to estimate the system state and the actuator fault. A novel approach is developed using the L∞ norm to attenuate the effects of the uncertainties and to improve the accuracy of the proposed observer. Then, based on the fault estimation information, the FTC strategy is designed using a linear state feedback control law and H∞ technique to compensate actuator faults and maintain system performance and stability, even under faulty conditions. Finally, the effectiveness of the proposed method is demonstrated by its application to a vehicle lateral dynamic nonlinear model. © 2022 Elsevier B.V. |
Yakoub, Zaineb; Naifar, Omar; Amairi, Messaoud; Chetoui, Manel; Aoun, Mohamed; Makhlouf, Abdellatif Ben A Bias-Corrected Method for Fractional Linear Parameter Varying Systems Article de journal Dans: Mathematical Problems in Engineering, vol. 2022, 2022, (Cited by: 1; All Open Access, Gold Open Access). @article{Yakoub2022e,
title = {A Bias-Corrected Method for Fractional Linear Parameter Varying Systems},
author = {Zaineb Yakoub and Omar Naifar and Messaoud Amairi and Manel Chetoui and Mohamed Aoun and Abdellatif Ben Makhlouf},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128182629\&doi=10.1155%2f2022%2f7278157\&partnerID=40\&md5=6ea775beb03cf2de78d054b3e4819d41},
doi = {10.1155/2022/7278157},
year = {2022},
date = {2022-01-01},
journal = {Mathematical Problems in Engineering},
volume = {2022},
abstract = {This paper proposes an identification algorithm for the fractional Linear Parameter Varying (LPV) system considering noisy scheduling and output measurements. A bias correction technique is provided in order to compensate for the bias caused by the least squares algorithm. This approach was created to estimate either coefficients or fractional-order differentiation, and it has been proven to produce unbiased and reliable results. The suggested method's performance is assessed by the identification of two fractional models and was compared with Nelder-Mead Simplex method. © 2022 Zaineb Yakoub et al.},
note = {Cited by: 1; All Open Access, Gold Open Access},
keywords = {Bias correction, Correction techniques, Fractional model, Fractional order, Identification algorithms, LeastSquare algorithm, Linear parameter varying systems, Linear programming, Linear systems, Nelder-Mead simplex methods, Performance, Reliable results},
pubstate = {published},
tppubtype = {article}
}
This paper proposes an identification algorithm for the fractional Linear Parameter Varying (LPV) system considering noisy scheduling and output measurements. A bias correction technique is provided in order to compensate for the bias caused by the least squares algorithm. This approach was created to estimate either coefficients or fractional-order differentiation, and it has been proven to produce unbiased and reliable results. The suggested method’s performance is assessed by the identification of two fractional models and was compared with Nelder-Mead Simplex method. © 2022 Zaineb Yakoub et al. |
Lamouchi, Rihab; Raissi, Tarek; Amairi, Messaoud; Aoun, Mohamed Interval observer-based methodology for passive fault tolerant control of linear parameter-varying systems Article de journal Dans: Transactions of the Institute of Measurement and Control, vol. 44, no. 5, p. 986 – 999, 2022, (Cited by: 4). @article{Lamouchi2022986b,
title = {Interval observer-based methodology for passive fault tolerant control of linear parameter-varying systems},
author = {Rihab Lamouchi and Tarek Raissi and Messaoud Amairi and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116041442\&doi=10.1177%2f01423312211040370\&partnerID=40\&md5=c5fa02b0d345303e5c1d1274ad12a7ef},
doi = {10.1177/01423312211040370},
year = {2022},
date = {2022-01-01},
journal = {Transactions of the Institute of Measurement and Control},
volume = {44},
number = {5},
pages = {986 \textendash 999},
abstract = {The paper deals with passive fault tolerant control for linear parameter varying systems subject to component faults. Under the assumption that the faults magnitudes are considered unknown but bounded, a novel methodology is proposed using interval observer with an (Formula presented.) formalism to attenuate the effects of the uncertainties and to improve the accuracy of the proposed observer. The necessary and sufficient conditions of the control system stability are developed in terms of matrix inequalities constraints using Lyapunov stability theory. Based on a linear state feedback, a fault tolerant control strategy is designed to handle component faults effect as well as external disturbances and preserve the system closed-loop stability for both fault-free and component faulty cases. Two simulation examples are presented to demonstrate the effectiveness of the proposed method. © The Author(s) 2021.},
note = {Cited by: 4},
keywords = {Component faults, Control system stability, Control theory, Fault magnitudes, Fault tolerance, Faults tolerant controls, Interval observers, Linear parameter varying systems, Linear systems, LPV systems, Novel methodology, Observer-based, State feedback, Uncertainty, Unknown but bounded},
pubstate = {published},
tppubtype = {article}
}
The paper deals with passive fault tolerant control for linear parameter varying systems subject to component faults. Under the assumption that the faults magnitudes are considered unknown but bounded, a novel methodology is proposed using interval observer with an (Formula presented.) formalism to attenuate the effects of the uncertainties and to improve the accuracy of the proposed observer. The necessary and sufficient conditions of the control system stability are developed in terms of matrix inequalities constraints using Lyapunov stability theory. Based on a linear state feedback, a fault tolerant control strategy is designed to handle component faults effect as well as external disturbances and preserve the system closed-loop stability for both fault-free and component faulty cases. Two simulation examples are presented to demonstrate the effectiveness of the proposed method. © The Author(s) 2021. |
Lamouchi, Rihab; Raissi, Tarek; Amairi, Messaoud; Aoun, Mohamed Interval Observers Fault Detection for Linear Parameter Varying Systems with H- Fault Sensitivity Conférence 2022, (Cited by: 1). @conference{Lamouchi2022178b,
title = {Interval Observers Fault Detection for Linear Parameter Varying Systems with H- Fault Sensitivity},
author = {Rihab Lamouchi and Tarek Raissi and Messaoud Amairi and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143817218\&doi=10.1109%2fSSD54932.2022.9955878\&partnerID=40\&md5=861234ea09d7f66ce9fcabebfd66668e},
doi = {10.1109/SSD54932.2022.9955878},
year = {2022},
date = {2022-01-01},
journal = {2022 19th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2022},
pages = {178 \textendash 183},
abstract = {A fault detection (FD) method for a class of discrete-time Linear Parameter Varying (LPV) systems with sensor faults and measurement noise is proposed in this paper. Then, an interval FD observer is studied using Linfty performance to minimise the uncertainties effects and to improve the estimation accuracy. Furthermore, mathcalH- performance is considered in order to calculate the sensitivity of the residual to sensor faults and a FD decision is set to indicate their presence. The validity of the proposed methodology is demonstrated using a numerical example. © 2022 IEEE.},
note = {Cited by: 1},
keywords = {Detection methods, Fault detection, Fault sensitivity, Faults detection, Finite difference method, H- fault sensitivity, Interval observers, Linear parameter varying systems, Linear systems, L∞ performance, Sensor fault detection, Sensors faults, ∞performance},
pubstate = {published},
tppubtype = {conference}
}
A fault detection (FD) method for a class of discrete-time Linear Parameter Varying (LPV) systems with sensor faults and measurement noise is proposed in this paper. Then, an interval FD observer is studied using Linfty performance to minimise the uncertainties effects and to improve the estimation accuracy. Furthermore, mathcalH- performance is considered in order to calculate the sensitivity of the residual to sensor faults and a FD decision is set to indicate their presence. The validity of the proposed methodology is demonstrated using a numerical example. © 2022 IEEE. |
Dadi, Leila; Ethabet, Haifa; Aoun, Mohamed Set-Membership Fault Detection for Discrete-time Switched Linear Systems Conférence 2022, (Cited by: 0). @conference{Dadi2022190,
title = {Set-Membership Fault Detection for Discrete-time Switched Linear Systems},
author = {Leila Dadi and Haifa Ethabet and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143822450\&doi=10.1109%2fSSD54932.2022.9955834\&partnerID=40\&md5=845297a35126246541ad5d43c4f68b5e},
doi = {10.1109/SSD54932.2022.9955834},
year = {2022},
date = {2022-01-01},
journal = {2022 19th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2022},
pages = {190 \textendash 194},
abstract = {This work deals with Fault Detection (FD) for a class of discrete-time switched linear systems with actuator faults subject to bounded disturbances. First, based on cooperativity and stability conditions and under the assumption that disturbances and measurement noise are unknown but bounded, upper and lower bounds of the state are calculated using an interval observer. The design conditions of the observer are expressed in terms of Linear Matrix Inequalities (LMIs). Second, a fault detection decision is developed to indicate the presence of faults using interval analysis. Simulation results are provided to illustrate the performance of the proposed fault detection approach. © 2022 IEEE.},
note = {Cited by: 0},
keywords = {Actuator fault, Actuators, Bounded disturbances, Cooperativity, Discrete time, Fault detection, Faults detection, Interval observers, Linear matrix inequalities, Linear systems, Set-membership, Stability condition, Switched linear system, Switched system},
pubstate = {published},
tppubtype = {conference}
}
This work deals with Fault Detection (FD) for a class of discrete-time switched linear systems with actuator faults subject to bounded disturbances. First, based on cooperativity and stability conditions and under the assumption that disturbances and measurement noise are unknown but bounded, upper and lower bounds of the state are calculated using an interval observer. The design conditions of the observer are expressed in terms of Linear Matrix Inequalities (LMIs). Second, a fault detection decision is developed to indicate the presence of faults using interval analysis. Simulation results are provided to illustrate the performance of the proposed fault detection approach. © 2022 IEEE. |
Dadi, Leila; Dinh, Thach Ngoc; Raïssi, Tarek; Ethabet, Haifa; Aoun, Mohamed New Finite-Time Observers design for a Discrete-Time Switched Linear System Conférence vol. 55, no. 40, 2022, (Cited by: 0; All Open Access, Bronze Open Access, Green Open Access). @conference{Dadi202273,
title = {New Finite-Time Observers design for a Discrete-Time Switched Linear System},
author = {Leila Dadi and Thach Ngoc Dinh and Tarek Ra\"{i}ssi and Haifa Ethabet and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159376419\&doi=10.1016%2fj.ifacol.2023.01.051\&partnerID=40\&md5=949c6c46f6060c2b436e93abc952c158},
doi = {10.1016/j.ifacol.2023.01.051},
year = {2022},
date = {2022-01-01},
journal = {IFAC-PapersOnLine},
volume = {55},
number = {40},
pages = {73 \textendash 78},
abstract = {In this work, we consider a discrete-time switched linear system. A novel approach is introduced to estimate its state in a finite fixed time which can be arbitrarily chosen and is independent of the initial state. For cases where the additive disturbance and measurement noise are known, we provide an exact estimation. Otherwise, a finite-time interval observer is designed. The crucial idea is based on using past values of the input and output of the studied system and a minimal dwell time condition. Simulation results are provided to illustrate the effectiveness of the proposed techniques in different scenarios of finite time choices. Copyright © 2022 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/)},
note = {Cited by: 0; All Open Access, Bronze Open Access, Green Open Access},
keywords = {Additive disturbance, Approximate estimation, Discrete time, Exact estimation, Finite-time observers, Fixed time, Initial state, Linear systems, Measurement Noise, Observers designs, Switched linear system},
pubstate = {published},
tppubtype = {conference}
}
In this work, we consider a discrete-time switched linear system. A novel approach is introduced to estimate its state in a finite fixed time which can be arbitrarily chosen and is independent of the initial state. For cases where the additive disturbance and measurement noise are known, we provide an exact estimation. Otherwise, a finite-time interval observer is designed. The crucial idea is based on using past values of the input and output of the studied system and a minimal dwell time condition. Simulation results are provided to illustrate the effectiveness of the proposed techniques in different scenarios of finite time choices. Copyright © 2022 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
2020
|
Frej, Ghazi Bel Haj; Malti, Rachid; Aoun, Mohamed; Raïssi, Tarek Fractional interval observers and initialization of fractional systems Article de journal Dans: Communications in Nonlinear Science and Numerical Simulation, vol. 82, 2020, (Cited by: 6; All Open Access, Bronze Open Access, Green Open Access). @article{BelHajFrej2020b,
title = {Fractional interval observers and initialization of fractional systems},
author = {Ghazi Bel Haj Frej and Rachid Malti and Mohamed Aoun and Tarek Ra\"{i}ssi},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073555836\&doi=10.1016%2fj.cnsns.2019.105030\&partnerID=40\&md5=79ed72482fa1874d673190eaeaf76737},
doi = {10.1016/j.cnsns.2019.105030},
year = {2020},
date = {2020-01-01},
journal = {Communications in Nonlinear Science and Numerical Simulation},
volume = {82},
abstract = {In this paper an interval observer is synthesized for fractional linear systems with additive noise and disturbances. The contribution of system whole past to future output is taken into account as an initialization function. Provided the initialization function is upper and lower bounded, it is shown in this paper that the fractional interval observer (FIO) allows to bound pseudo-state free responses by an upper and a lower trajectory. In case interval observers cannot be synthesized straightforwardly, so as to obtain a stable and non-negative estimation error, it is shown that a change of coordinates allows to overcome this problem. The proposed methodology allows to bound fractional systems trajectories when the whole past is unknown but can be bounded. Finally, a numerical example is given to show the effectiveness of the proposed methods on the initialization of fractional linear systems. © 2019 Elsevier B.V.},
note = {Cited by: 6; All Open Access, Bronze Open Access, Green Open Access},
keywords = {A-stable, Additive noise, Estimation errors, Fractional systems, Free response, Initialization, Interval observers, Linear systems, Non negatives, Numerical methods, Pseudo state},
pubstate = {published},
tppubtype = {article}
}
In this paper an interval observer is synthesized for fractional linear systems with additive noise and disturbances. The contribution of system whole past to future output is taken into account as an initialization function. Provided the initialization function is upper and lower bounded, it is shown in this paper that the fractional interval observer (FIO) allows to bound pseudo-state free responses by an upper and a lower trajectory. In case interval observers cannot be synthesized straightforwardly, so as to obtain a stable and non-negative estimation error, it is shown that a change of coordinates allows to overcome this problem. The proposed methodology allows to bound fractional systems trajectories when the whole past is unknown but can be bounded. Finally, a numerical example is given to show the effectiveness of the proposed methods on the initialization of fractional linear systems. © 2019 Elsevier B.V. |
Ethabet, Haifa; Raissi, Tarek; Amairi, Messaoud; Aoun, Mohamed Fault Detection and Isolation for Continuous-Time Switched Linear Systems: A Set Membership Approach Conférence 2020, (Cited by: 1). @conference{Ethabet2020279b,
title = {Fault Detection and Isolation for Continuous-Time Switched Linear Systems: A Set Membership Approach},
author = {Haifa Ethabet and Tarek Raissi and Messaoud Amairi and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103019738\&doi=10.1109%2fSSD49366.2020.9364097\&partnerID=40\&md5=e2297b397f94ac2755b2faf5d9e3ab2e},
doi = {10.1109/SSD49366.2020.9364097},
year = {2020},
date = {2020-01-01},
journal = {Proceedings of the 17th International Multi-Conference on Systems, Signals and Devices, SSD 2020},
pages = {279 \textendash 284},
abstract = {In this paper, the problem of Fault Detection and Isolation (FDI) is investigated for continuous-Time switched linear systems via a set-membership approach. Under the fulfillment of the relative degree property by all the subsystems, the proposed solution is based on the use of a bank of interval unknown input observers. Under the assumption that disturbances and measurement noise are unknown but bounded with a priori known bounds, cooperativity and stability conditions are given in terms of Linear Matrix Inequalities (LMIs) with the fulfillment of an Average Dwell Time (ADT) constraints. Then, upper and lower residuals are computed. A numerical example illustrating the validity of the method in fault detection and isolation is given. © 2020 IEEE.},
note = {Cited by: 1},
keywords = {Average dwell time, Continuous time systems, Fault detection, Fault detection and isolation, Linear matrix inequalities, Linear systems, Measurement Noise, Numerical methods, Set membership approach, Stability condition, Switched linear system, Unknown but bounded, Unknown input observer},
pubstate = {published},
tppubtype = {conference}
}
In this paper, the problem of Fault Detection and Isolation (FDI) is investigated for continuous-Time switched linear systems via a set-membership approach. Under the fulfillment of the relative degree property by all the subsystems, the proposed solution is based on the use of a bank of interval unknown input observers. Under the assumption that disturbances and measurement noise are unknown but bounded with a priori known bounds, cooperativity and stability conditions are given in terms of Linear Matrix Inequalities (LMIs) with the fulfillment of an Average Dwell Time (ADT) constraints. Then, upper and lower residuals are computed. A numerical example illustrating the validity of the method in fault detection and isolation is given. © 2020 IEEE. |
Ethabet, H.; Raïssi, T.; Amairi, M.; Combastel, C.; Aoun, M. Interval observer design for continuous-time switched systems under known switching and unknown inputs Article de journal Dans: International Journal of Control, vol. 93, no. 5, p. 1088 – 1101, 2020, (Cited by: 12). @article{Ethabet20201088b,
title = {Interval observer design for continuous-time switched systems under known switching and unknown inputs},
author = {H. Ethabet and T. Ra\"{i}ssi and M. Amairi and C. Combastel and M. Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049209553\&doi=10.1080%2f00207179.2018.1490820\&partnerID=40\&md5=a0ed909a0093543677fd709ae15e9b79},
doi = {10.1080/00207179.2018.1490820},
year = {2020},
date = {2020-01-01},
journal = {International Journal of Control},
volume = {93},
number = {5},
pages = {1088 \textendash 1101},
abstract = {This paper deals with unknown input estimation for switched linear systems in an unknown but bounded error (UBBE) framework. Based on a known switching signal and under the fulfilment of the relative degree property by all the subsystems, a decoupling method is used to make the state partially affected by the unknown input. Assuming that the disturbances and the measurement noises are unknown but bounded with a priori known bounds, lower and upper bounds of the unmeasured state and unknown input are then computed. A numerical example illustrates the efficiency of the proposed methodology. © 2018, © 2018 Informa UK Limited, trading as Taylor \& Francis Group.},
note = {Cited by: 12},
keywords = {Continuous time systems, Interval estimation, Linear systems, Lower and upper bounds, State transformation, Switched linear system, Switched system, Unknown but bounded, Unknown input estimation, Unknown inputs},
pubstate = {published},
tppubtype = {article}
}
This paper deals with unknown input estimation for switched linear systems in an unknown but bounded error (UBBE) framework. Based on a known switching signal and under the fulfilment of the relative degree property by all the subsystems, a decoupling method is used to make the state partially affected by the unknown input. Assuming that the disturbances and the measurement noises are unknown but bounded with a priori known bounds, lower and upper bounds of the unmeasured state and unknown input are then computed. A numerical example illustrates the efficiency of the proposed methodology. © 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group. |
Frej, Ghazi Bel Haj; Malti, Rachid; Aoun, Mohamed; Raïssi, Tarek Fractional interval observers and initialization of fractional systems Article de journal Dans: Communications in Nonlinear Science and Numerical Simulation, vol. 82, 2020, (Cited by: 6; All Open Access, Bronze Open Access, Green Open Access). @article{BelHajFrej2020c,
title = {Fractional interval observers and initialization of fractional systems},
author = {Ghazi Bel Haj Frej and Rachid Malti and Mohamed Aoun and Tarek Ra\"{i}ssi},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073555836\&doi=10.1016%2fj.cnsns.2019.105030\&partnerID=40\&md5=79ed72482fa1874d673190eaeaf76737},
doi = {10.1016/j.cnsns.2019.105030},
year = {2020},
date = {2020-01-01},
journal = {Communications in Nonlinear Science and Numerical Simulation},
volume = {82},
abstract = {In this paper an interval observer is synthesized for fractional linear systems with additive noise and disturbances. The contribution of system whole past to future output is taken into account as an initialization function. Provided the initialization function is upper and lower bounded, it is shown in this paper that the fractional interval observer (FIO) allows to bound pseudo-state free responses by an upper and a lower trajectory. In case interval observers cannot be synthesized straightforwardly, so as to obtain a stable and non-negative estimation error, it is shown that a change of coordinates allows to overcome this problem. The proposed methodology allows to bound fractional systems trajectories when the whole past is unknown but can be bounded. Finally, a numerical example is given to show the effectiveness of the proposed methods on the initialization of fractional linear systems. © 2019 Elsevier B.V.},
note = {Cited by: 6; All Open Access, Bronze Open Access, Green Open Access},
keywords = {A-stable, Additive noise, Estimation errors, Fractional systems, Free response, Initialization, Interval observers, Linear systems, Non negatives, Numerical methods, Pseudo state},
pubstate = {published},
tppubtype = {article}
}
In this paper an interval observer is synthesized for fractional linear systems with additive noise and disturbances. The contribution of system whole past to future output is taken into account as an initialization function. Provided the initialization function is upper and lower bounded, it is shown in this paper that the fractional interval observer (FIO) allows to bound pseudo-state free responses by an upper and a lower trajectory. In case interval observers cannot be synthesized straightforwardly, so as to obtain a stable and non-negative estimation error, it is shown that a change of coordinates allows to overcome this problem. The proposed methodology allows to bound fractional systems trajectories when the whole past is unknown but can be bounded. Finally, a numerical example is given to show the effectiveness of the proposed methods on the initialization of fractional linear systems. © 2019 Elsevier B.V. |
2019
|
Chetoui, Manel; Aoun, Mohamed Instrumental variables based methods for linear systems identification with fractional models in the EIV context Conférence 2019, (Cited by: 5). @conference{Chetoui201990b,
title = {Instrumental variables based methods for linear systems identification with fractional models in the EIV context},
author = {Manel Chetoui and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075640184\&doi=10.1109%2fSSD.2019.8893265\&partnerID=40\&md5=2f59e71847ca98f45a7d71b9b46a627d},
doi = {10.1109/SSD.2019.8893265},
year = {2019},
date = {2019-01-01},
journal = {16th International Multi-Conference on Systems, Signals and Devices, SSD 2019},
pages = {90 \textendash 95},
abstract = {In this paper a new instrumental variables methods based on the Higher-Order-Statistics (fourth order cumulants) are developed for continuous-time system identification with fractional models in the errors in variables context. The fractional orders are supposed known a priori and only the linear coefficients are estimated. The developed algorithms are compared to a fractional fourth order cumulants based least squares algorithm. Their performances are tested through a numerical example in two cases: white and colored noises affecting the input and the output measurements. © 2019 IEEE.},
note = {Cited by: 5},
keywords = {Continuous time systems, Continuous-time, Fourth-order cumulants, Fractional differentiation, Higher order statistics, Image segmentation, Instrumental variables, Least Square, Linear systems, State-variable filters},
pubstate = {published},
tppubtype = {conference}
}
In this paper a new instrumental variables methods based on the Higher-Order-Statistics (fourth order cumulants) are developed for continuous-time system identification with fractional models in the errors in variables context. The fractional orders are supposed known a priori and only the linear coefficients are estimated. The developed algorithms are compared to a fractional fourth order cumulants based least squares algorithm. Their performances are tested through a numerical example in two cases: white and colored noises affecting the input and the output measurements. © 2019 IEEE. |
Yakoub, Zaineb; Amairi, Messaoud; Aoun, Mohamed; Chetoui, Manel On the fractional closed-loop linear parameter varying system identification under noise corrupted scheduling and output signal measurements Article de journal Dans: Transactions of the Institute of Measurement and Control, vol. 41, no. 10, p. 2909 – 2921, 2019, (Cited by: 3). @article{Yakoub20192909b,
title = {On the fractional closed-loop linear parameter varying system identification under noise corrupted scheduling and output signal measurements},
author = {Zaineb Yakoub and Messaoud Amairi and Mohamed Aoun and Manel Chetoui},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85061267074\&doi=10.1177%2f0142331218821409\&partnerID=40\&md5=74b33d7ecf26b354ee27592a193b26d9},
doi = {10.1177/0142331218821409},
year = {2019},
date = {2019-01-01},
journal = {Transactions of the Institute of Measurement and Control},
volume = {41},
number = {10},
pages = {2909 \textendash 2921},
abstract = {It is well known that, in some industrial process identification situations, measurements can be collected from closed-loop experiments for several reasons such as stability, safety, and performance constraints. In this paper, we investigate the problem of identifying continuous-time fractional closed-loop linear parameter varying systems. The simplified refined instrumental variable method is developed to estimate both coefficients and differentiation orders. This method is established to provide consistent estimates when the output and the scheduling variable are contaminated by additive measurements noise. The proposed scheme is evaluated in comparison with other approaches in terms of a simulation example. © The Author(s) 2019.},
note = {Cited by: 3},
keywords = {Accident prevention, Calculations, Continuous time systems, Differentiation (calculus), Fractional calculus, Instrumental variables, Least Square, Linear parameters, Linear systems, Non-linear optimization, Nonlinear programming, Scheduling},
pubstate = {published},
tppubtype = {article}
}
It is well known that, in some industrial process identification situations, measurements can be collected from closed-loop experiments for several reasons such as stability, safety, and performance constraints. In this paper, we investigate the problem of identifying continuous-time fractional closed-loop linear parameter varying systems. The simplified refined instrumental variable method is developed to estimate both coefficients and differentiation orders. This method is established to provide consistent estimates when the output and the scheduling variable are contaminated by additive measurements noise. The proposed scheme is evaluated in comparison with other approaches in terms of a simulation example. © The Author(s) 2019. |
Ethabet, Haifa; Raïssi, Tarek; Amairi, Messaoud; Aoun, Mohamed Set-Membership Fault Detection for Continuous-time Switched Linear Systems Conférence 2019, (Cited by: 7). @conference{Ethabet2019406b,
title = {Set-Membership Fault Detection for Continuous-time Switched Linear Systems},
author = {Haifa Ethabet and Tarek Ra\"{i}ssi and Messaoud Amairi and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074402785\&doi=10.1109%2fASET.2019.8870992\&partnerID=40\&md5=d92dcb337b52e6a06fd5caf02b00c0c0},
doi = {10.1109/ASET.2019.8870992},
year = {2019},
date = {2019-01-01},
journal = {Proceedings of International Conference on Advanced Systems and Emergent Technologies, IC_ASET 2019},
pages = {406 \textendash 411},
abstract = {The problem of Fault Detection (FD) for continuous-time switched linear systems subject to bounded disturbances is investigated in this paper. Based on cooperativity and stability properties, and fulfillment of an Average Dwell Time (ADT) constraint, guaranteed upper and lower bounds of the state are calculated using an interval observer. Under the assumption that disturbances and measurement noise are unknown but bounded with a priori known bounds, stability criteria is expressed in terms of Linear Matrix Inequalities (LMIs). Then, a fault detection methodology is developed to indicate the presence of faults. Finally, we demonstrate the proposed fault detection approach via an illustrative example. © 2019 IEEE.},
note = {Cited by: 7},
keywords = {Bounded disturbances, Continuous time systems, Continuous-time, Fault detection, Linear matrix inequalities, Linear systems, Set membership, Stability criteria, Stability properties, Switched linear system, Switched system, Unknown but bounded, Upper and lower bounds},
pubstate = {published},
tppubtype = {conference}
}
The problem of Fault Detection (FD) for continuous-time switched linear systems subject to bounded disturbances is investigated in this paper. Based on cooperativity and stability properties, and fulfillment of an Average Dwell Time (ADT) constraint, guaranteed upper and lower bounds of the state are calculated using an interval observer. Under the assumption that disturbances and measurement noise are unknown but bounded with a priori known bounds, stability criteria is expressed in terms of Linear Matrix Inequalities (LMIs). Then, a fault detection methodology is developed to indicate the presence of faults. Finally, we demonstrate the proposed fault detection approach via an illustrative example. © 2019 IEEE. |
Chetoui, Manel; Aoun, Mohamed Instrumental variables based methods for linear systems identification with fractional models in the EIV context Conférence 2019, (Cited by: 5). @conference{Chetoui201990,
title = {Instrumental variables based methods for linear systems identification with fractional models in the EIV context},
author = {Manel Chetoui and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075640184\&doi=10.1109%2fSSD.2019.8893265\&partnerID=40\&md5=2f59e71847ca98f45a7d71b9b46a627d},
doi = {10.1109/SSD.2019.8893265},
year = {2019},
date = {2019-01-01},
journal = {16th International Multi-Conference on Systems, Signals and Devices, SSD 2019},
pages = {90 \textendash 95},
abstract = {In this paper a new instrumental variables methods based on the Higher-Order-Statistics (fourth order cumulants) are developed for continuous-time system identification with fractional models in the errors in variables context. The fractional orders are supposed known a priori and only the linear coefficients are estimated. The developed algorithms are compared to a fractional fourth order cumulants based least squares algorithm. Their performances are tested through a numerical example in two cases: white and colored noises affecting the input and the output measurements. © 2019 IEEE.},
note = {Cited by: 5},
keywords = {Continuous time systems, Continuous-time, Fourth-order cumulants, Fractional differentiation, Higher order statistics, Image segmentation, Instrumental variables, Least Square, Linear systems, State-variable filters},
pubstate = {published},
tppubtype = {conference}
}
In this paper a new instrumental variables methods based on the Higher-Order-Statistics (fourth order cumulants) are developed for continuous-time system identification with fractional models in the errors in variables context. The fractional orders are supposed known a priori and only the linear coefficients are estimated. The developed algorithms are compared to a fractional fourth order cumulants based least squares algorithm. Their performances are tested through a numerical example in two cases: white and colored noises affecting the input and the output measurements. © 2019 IEEE. |
2018
|
Lamouchi, Rihab; Raïssi, Tarek; Amairi, Messaoud; Aoun, Mohamed Interval Observer Design for Actuator Fault Estimation of Linear Parameter-Varying Systems Conférence vol. 51, no. 24, 2018, (Cited by: 5; All Open Access, Bronze Open Access, Green Open Access). @conference{Lamouchi20181199b,
title = {Interval Observer Design for Actuator Fault Estimation of Linear Parameter-Varying Systems},
author = {Rihab Lamouchi and Tarek Ra\"{i}ssi and Messaoud Amairi and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85054559690\&doi=10.1016%2fj.ifacol.2018.09.699\&partnerID=40\&md5=de423414de6ba51a4812a058275b7b0a},
doi = {10.1016/j.ifacol.2018.09.699},
year = {2018},
date = {2018-01-01},
volume = {51},
number = {24},
pages = {1199 \textendash 1204},
abstract = {This work is devoted to fault estimation of discrete-time Linear Parameter-Varying (LPV) systems subject to actuator additive faults and external disturbances. Under the assumption that the measurement noises and the disturbances are unknown but bounded, an interval observer is designed, based on decoupling the fault effect, to compute a lower and upper bounds for the unmeasured state and the faults. Stability conditions are expressed in terms of matrices inequalities. A case study is used to illustrate the effectiveness of the proposed approach. © 2018},
note = {Cited by: 5; All Open Access, Bronze Open Access, Green Open Access},
keywords = {Actuators, Discrete time linear parameter varying (LPV) system, External disturbances, Fault estimation, Interval observers, Linear parameter varying systems, Linear systems, Lower and upper bounds, LPV systems, Parameter estimation, Unknown input observer},
pubstate = {published},
tppubtype = {conference}
}
This work is devoted to fault estimation of discrete-time Linear Parameter-Varying (LPV) systems subject to actuator additive faults and external disturbances. Under the assumption that the measurement noises and the disturbances are unknown but bounded, an interval observer is designed, based on decoupling the fault effect, to compute a lower and upper bounds for the unmeasured state and the faults. Stability conditions are expressed in terms of matrices inequalities. A case study is used to illustrate the effectiveness of the proposed approach. © 2018 |
Lamouchi, R.; Raïssi, T.; Amairi, M.; Aoun, M. Interval observer framework for fault-tolerant control of linear parameter-varying systems Article de journal Dans: International Journal of Control, vol. 91, no. 3, p. 524 – 533, 2018, (Cited by: 35). @article{Lamouchi2018524b,
title = {Interval observer framework for fault-tolerant control of linear parameter-varying systems},
author = {R. Lamouchi and T. Ra\"{i}ssi and M. Amairi and M. Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85014539916\&doi=10.1080%2f00207179.2017.1286042\&partnerID=40\&md5=275234188281e51a603a02d016dc6d8f},
doi = {10.1080/00207179.2017.1286042},
year = {2018},
date = {2018-01-01},
journal = {International Journal of Control},
volume = {91},
number = {3},
pages = {524 \textendash 533},
abstract = {This paper addresses the problem of passive fault-tolerant control for linear parameter-varying systems subject to actuator faults. The FTC, based on a linear state feedback, is designed to compensate the impact of actuator faults on system performance by stabilising the closed-loop system using interval observers. The design of interval observers is based on the discrete-time Luenberger observer structure, where uncertainties and faults with known bounds are considered. Sufficient conditions for the existence of the proposed observer are explicitly provided. Simulation results are presented to show the effectiveness of the proposed approach. © 2017 Informa UK Limited, trading as Taylor \& Francis Group.},
note = {Cited by: 35},
keywords = {Actuator fault, Actuators, Closed loop systems, Convergence of numerical methods, Discrete-time Luenberger observer, Fault tolerance, Fault tolerant control, Interval observers, Linear parameter varying systems, Linear state feedback, Linear systems, LPV systems, State feedback},
pubstate = {published},
tppubtype = {article}
}
This paper addresses the problem of passive fault-tolerant control for linear parameter-varying systems subject to actuator faults. The FTC, based on a linear state feedback, is designed to compensate the impact of actuator faults on system performance by stabilising the closed-loop system using interval observers. The design of interval observers is based on the discrete-time Luenberger observer structure, where uncertainties and faults with known bounds are considered. Sufficient conditions for the existence of the proposed observer are explicitly provided. Simulation results are presented to show the effectiveness of the proposed approach. © 2017 Informa UK Limited, trading as Taylor & Francis Group. |
2017
|
Yousfi, B.; Raïssi, T.; Amairi, M.; Gucik-Derigny, D.; Aoun, M. Robust state estimation for singularly perturbed systems Article de journal Dans: International Journal of Control, vol. 90, no. 3, p. 582 – 595, 2017, (Cited by: 6). @article{Yousfi2017582b,
title = {Robust state estimation for singularly perturbed systems},
author = {B. Yousfi and T. Ra\"{i}ssi and M. Amairi and D. Gucik-Derigny and M. Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979965559\&doi=10.1080%2f00207179.2016.1186842\&partnerID=40\&md5=a6a887668d600359a3d705890d923cca},
doi = {10.1080/00207179.2016.1186842},
year = {2017},
date = {2017-01-01},
journal = {International Journal of Control},
volume = {90},
number = {3},
pages = {582 \textendash 595},
abstract = {This paper deals with the design of interval observers for singularly perturbed linear systems. The full-order system is first decoupled into slow and fast subsystems. Then, using the cooperativity theory, an interval observer is designed for the slow and fast subsystems assuming that the measurement noise and the disturbances are bounded and the singular perturbed parameter is uncertain. This decoupling leads to two observers that estimate the lower and upper bounds for the feasible state domain. A numerical example shows the efficiency of the proposed technique. © 2016 Informa UK Limited, trading as Taylor \& Francis Group.},
note = {Cited by: 6},
keywords = {Cooperativity, Interval observers, Linear systems, Lower and upper bounds, Measurement Noise, Numerical methods, Perturbation techniques, Robust state estimation, Singularly perturbed, Singularly perturbed systems, uncertainties, Uncertainty analysis},
pubstate = {published},
tppubtype = {article}
}
This paper deals with the design of interval observers for singularly perturbed linear systems. The full-order system is first decoupled into slow and fast subsystems. Then, using the cooperativity theory, an interval observer is designed for the slow and fast subsystems assuming that the measurement noise and the disturbances are bounded and the singular perturbed parameter is uncertain. This decoupling leads to two observers that estimate the lower and upper bounds for the feasible state domain. A numerical example shows the efficiency of the proposed technique. © 2016 Informa UK Limited, trading as Taylor & Francis Group. |
Lamouchi, Rihab; Amairi, Messaoud; Raïssi, Tarek; Aoun, Mohamed Actuator Fault Compensation in a Set-membership Framework for Linear Parameter-Varying Systems Conférence vol. 50, no. 1, 2017, (Cited by: 11; All Open Access, Bronze Open Access, Green Open Access). @conference{Lamouchi20174033b,
title = {Actuator Fault Compensation in a Set-membership Framework for Linear Parameter-Varying Systems},
author = {Rihab Lamouchi and Messaoud Amairi and Tarek Ra\"{i}ssi and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85031808952\&doi=10.1016%2fj.ifacol.2017.08.721\&partnerID=40\&md5=4dd785827818b10f42471334f4257294},
doi = {10.1016/j.ifacol.2017.08.721},
year = {2017},
date = {2017-01-01},
journal = {IFAC-PapersOnLine},
volume = {50},
number = {1},
pages = {4033 \textendash 4038},
abstract = {This paper presents an actuator fault compensation approach for a class of Linear Parameter-Varying (LPV) systems with noisy measurements. The proposed method is based on interval estimation assuming that the fault vector and the external disturbances are unknown but bounded. The main idea consists in designing a control law, based on a linear state feedback, to guarantee closed-loop stability. An additive control, based on fault bounds, is used to compensate the impact of actuator faults on system performances. The closed-loop stability of the robust fault compensation scheme is established in the Lyapunov sense. Finally, the theoretical results are illustrated using a numerical example. © 2017},
note = {Cited by: 11; All Open Access, Bronze Open Access, Green Open Access},
keywords = {Actuator fault, Actuators, Closed loop stability, Convergence of numerical methods, External disturbances, Interval estimation, Interval observers, Linear parameter varying systems, Linear state feedback, Linear systems, State feedback, Unknown but bounded},
pubstate = {published},
tppubtype = {conference}
}
This paper presents an actuator fault compensation approach for a class of Linear Parameter-Varying (LPV) systems with noisy measurements. The proposed method is based on interval estimation assuming that the fault vector and the external disturbances are unknown but bounded. The main idea consists in designing a control law, based on a linear state feedback, to guarantee closed-loop stability. An additive control, based on fault bounds, is used to compensate the impact of actuator faults on system performances. The closed-loop stability of the robust fault compensation scheme is established in the Lyapunov sense. Finally, the theoretical results are illustrated using a numerical example. © 2017 |
Raïssi, Tarek; Aoun, Mohamed On robust pseudo state estimation of fractional order systems Article de journal Dans: Lecture Notes in Control and Information Sciences, vol. 471, p. 97 – 111, 2017, (Cited by: 3). @article{Ra\"{i}ssi201797b,
title = {On robust pseudo state estimation of fractional order systems},
author = {Tarek Ra\"{i}ssi and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85017515441\&doi=10.1007%2f978-3-319-54211-9_8\&partnerID=40\&md5=1e73802a102fb9e5603ca4bcffa4ef46},
doi = {10.1007/978-3-319-54211-9_8},
year = {2017},
date = {2017-01-01},
journal = {Lecture Notes in Control and Information Sciences},
volume = {471},
pages = {97 \textendash 111},
abstract = {The goal of this chapter is to design robust observers for fractional dynamic continuous-time linear systems described by pseudo state space representation. The fractional observer is guaranteed to compute a domain enclosing all the system pseudo states that are consistent with the model, the disturbances and the measurement noise realizations. Uncertainties on the initial pseudo state and noises are propagated in a reliable way to estimate the bounds of the fractional pseudo state. Only the bounds of the uncertainties are used and no additional assumptions about their stationarity or ergodicity are taken into account. A fractional observer is firstly built for a particular case where the estimation error can be designed to be positive. Then, the general case is investigated through changes of coordinates. Some numerical simulations illustrate the proposed methodology. © Springer International Publishing AG 2017.},
note = {Cited by: 3},
keywords = {Continuous time systems, Continuous-time linear systems, Estimation errors, Fractional dynamics, Fractional systems, Fractional-order systems, Interval observers, Linear systems, Measurement Noise, Robust estimation, State estimation, State space methods, Uncertainty analysis},
pubstate = {published},
tppubtype = {article}
}
The goal of this chapter is to design robust observers for fractional dynamic continuous-time linear systems described by pseudo state space representation. The fractional observer is guaranteed to compute a domain enclosing all the system pseudo states that are consistent with the model, the disturbances and the measurement noise realizations. Uncertainties on the initial pseudo state and noises are propagated in a reliable way to estimate the bounds of the fractional pseudo state. Only the bounds of the uncertainties are used and no additional assumptions about their stationarity or ergodicity are taken into account. A fractional observer is firstly built for a particular case where the estimation error can be designed to be positive. Then, the general case is investigated through changes of coordinates. Some numerical simulations illustrate the proposed methodology. © Springer International Publishing AG 2017. |
Raïssi, Tarek; Aoun, Mohamed On robust pseudo state estimation of fractional order systems Article de journal Dans: Lecture Notes in Control and Information Sciences, vol. 471, p. 97 – 111, 2017, (Cited by: 3). @article{Ra\"{i}ssi201797,
title = {On robust pseudo state estimation of fractional order systems},
author = {Tarek Ra\"{i}ssi and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85017515441\&doi=10.1007%2f978-3-319-54211-9_8\&partnerID=40\&md5=1e73802a102fb9e5603ca4bcffa4ef46},
doi = {10.1007/978-3-319-54211-9_8},
year = {2017},
date = {2017-01-01},
journal = {Lecture Notes in Control and Information Sciences},
volume = {471},
pages = {97 \textendash 111},
abstract = {The goal of this chapter is to design robust observers for fractional dynamic continuous-time linear systems described by pseudo state space representation. The fractional observer is guaranteed to compute a domain enclosing all the system pseudo states that are consistent with the model, the disturbances and the measurement noise realizations. Uncertainties on the initial pseudo state and noises are propagated in a reliable way to estimate the bounds of the fractional pseudo state. Only the bounds of the uncertainties are used and no additional assumptions about their stationarity or ergodicity are taken into account. A fractional observer is firstly built for a particular case where the estimation error can be designed to be positive. Then, the general case is investigated through changes of coordinates. Some numerical simulations illustrate the proposed methodology. © Springer International Publishing AG 2017.},
note = {Cited by: 3},
keywords = {Continuous time systems, Continuous-time linear systems, Estimation errors, Fractional dynamics, Fractional systems, Fractional-order systems, Interval observers, Linear systems, Measurement Noise, Robust estimation, State estimation, State space methods, Uncertainty analysis},
pubstate = {published},
tppubtype = {article}
}
The goal of this chapter is to design robust observers for fractional dynamic continuous-time linear systems described by pseudo state space representation. The fractional observer is guaranteed to compute a domain enclosing all the system pseudo states that are consistent with the model, the disturbances and the measurement noise realizations. Uncertainties on the initial pseudo state and noises are propagated in a reliable way to estimate the bounds of the fractional pseudo state. Only the bounds of the uncertainties are used and no additional assumptions about their stationarity or ergodicity are taken into account. A fractional observer is firstly built for a particular case where the estimation error can be designed to be positive. Then, the general case is investigated through changes of coordinates. Some numerical simulations illustrate the proposed methodology. © Springer International Publishing AG 2017. |
2016
|
Salem, Thouraya; Chetoui, Manel; Aoun, Mohamed Instrumental variable based methods for continuous-time linear parameter varying system identification with fractional models Conférence 2016, (Cited by: 9). @conference{Salem2016640b,
title = {Instrumental variable based methods for continuous-time linear parameter varying system identification with fractional models},
author = {Thouraya Salem and Manel Chetoui and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84986183506\&doi=10.1109%2fMED.2016.7536043\&partnerID=40\&md5=42b2e04961aef2ea329989e32a842690},
doi = {10.1109/MED.2016.7536043},
year = {2016},
date = {2016-01-01},
journal = {24th Mediterranean Conference on Control and Automation, MED 2016},
pages = {640 \textendash 645},
abstract = {This paper deals with continuous-time linear parameter varying (LPV) system identification with fractional models. Two variants of instrumental variables based techniques are proposed to estimate continuous-time parameters of a fractional differential equation linear parameter varying model when all fractional orders are assumed known a priori: the first one is the instrumental variables estimator based in an auxiliary model. The second one is the simplified refined instrumental variables estimator. A comparison study between the developed estimators is done via a numerical example. A Monte Carlo simulation analysis results are presented to illustrate the performances of the proposed methods in the presence of an additive output noise. © 2016 IEEE.},
note = {Cited by: 9},
keywords = {Continuous time systems, Continuous-time, Differential equations, Estimation, Fractional differential equations, Fractional differentiation, Identification (control systems), Instrumental variables, Intelligent systems, Linear parameter varying models, Linear parameter varying systems, Linear systems, LPV systems, Monte Carlo methods, Parameter estimation, Refined instrumental variables, Religious buildings},
pubstate = {published},
tppubtype = {conference}
}
This paper deals with continuous-time linear parameter varying (LPV) system identification with fractional models. Two variants of instrumental variables based techniques are proposed to estimate continuous-time parameters of a fractional differential equation linear parameter varying model when all fractional orders are assumed known a priori: the first one is the instrumental variables estimator based in an auxiliary model. The second one is the simplified refined instrumental variables estimator. A comparison study between the developed estimators is done via a numerical example. A Monte Carlo simulation analysis results are presented to illustrate the performances of the proposed methods in the presence of an additive output noise. © 2016 IEEE. |
Houiji, Marwa; Hamdaoui, Rim; Aoun, Mohamed Fault detection performances analysis for stochastic systems based on adaptive threshold Conférence 2016, (Cited by: 2). @conference{Houiji2016229b,
title = {Fault detection performances analysis for stochastic systems based on adaptive threshold},
author = {Marwa Houiji and Rim Hamdaoui and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84974575297\&doi=10.1109%2fSSD.2016.7473701\&partnerID=40\&md5=0f9cdd28ba3852316e53997164690401},
doi = {10.1109/SSD.2016.7473701},
year = {2016},
date = {2016-01-01},
journal = {13th International Multi-Conference on Systems, Signals and Devices, SSD 2016},
pages = {229 \textendash 234},
abstract = {This paper investigates the problem of fault detection for discrete linear systems subjected to unknown disturbances, actuator and sensor faults. A bank of Augmented Robust Three stage Kalman filters is adapted to estimate both the state and the fault as well as to generate the residuals. Besides, this paper presents the evaluation of the residuals with Bayes test of binary hypothesis test for fault detection to adaptive threshold compared with fixed threshold. This test allow the detection of low magnitude faults as fast as possible with a minimum risk of errors, the increase of detection probability and the reduction of false alarm probability. © 2016 IEEE.},
note = {Cited by: 2},
keywords = {Actuator and sensor faults, Adaptive thresholds, Binary hypothesis tests, Detection delays, Detection performance, Detection probabilities, Discrete linear systems, False alarm probability, Fault detection, Linear systems, Signal detection, Stochastic systems},
pubstate = {published},
tppubtype = {conference}
}
This paper investigates the problem of fault detection for discrete linear systems subjected to unknown disturbances, actuator and sensor faults. A bank of Augmented Robust Three stage Kalman filters is adapted to estimate both the state and the fault as well as to generate the residuals. Besides, this paper presents the evaluation of the residuals with Bayes test of binary hypothesis test for fault detection to adaptive threshold compared with fixed threshold. This test allow the detection of low magnitude faults as fast as possible with a minimum risk of errors, the increase of detection probability and the reduction of false alarm probability. © 2016 IEEE. |
Lamouchi, R.; Amairi, M.; Raïssi, T.; Aoun, M. Interval observer design for Linear Parameter-Varying systems subject to component faults Conférence 2016, (Cited by: 20; All Open Access, Green Open Access). @conference{Lamouchi2016707b,
title = {Interval observer design for Linear Parameter-Varying systems subject to component faults},
author = {R. Lamouchi and M. Amairi and T. Ra\"{i}ssi and M. Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84986200960\&doi=10.1109%2fMED.2016.7536019\&partnerID=40\&md5=2dc46cb58f89ba91dad4efd3a485c91d},
doi = {10.1109/MED.2016.7536019},
year = {2016},
date = {2016-01-01},
journal = {24th Mediterranean Conference on Control and Automation, MED 2016},
pages = {707 \textendash 712},
abstract = {In this paper an interval observer for Linear Parameter-Varying (LPV) systems is proposed. The considered systems are assumed to be subject to parameter uncertainties and component faults whose effect can be approximated by parameters deviations. Under some conditions, an interval observer with discrete-time Luenberger structure is developed to cope with uncertainties and faults ensuring guaranteed bounds on the estimated states and their stability. The interval observer design is based on assumption that the uncertainties and the faults magnitudes are considered as unknown but bounded. A numerical example shows the efficiency of the proposed technique. © 2016 IEEE.},
note = {Cited by: 20; All Open Access, Green Open Access},
keywords = {Component faults, Convergence of numerical methods, Estimated state, Guaranteed bounds, Interval observers, Linear parameter varying systems, Linear systems, LPV systems, Numerical methods, Parameter uncertainty, Uncertainty analysis, Unknown but bounded},
pubstate = {published},
tppubtype = {conference}
}
In this paper an interval observer for Linear Parameter-Varying (LPV) systems is proposed. The considered systems are assumed to be subject to parameter uncertainties and component faults whose effect can be approximated by parameters deviations. Under some conditions, an interval observer with discrete-time Luenberger structure is developed to cope with uncertainties and faults ensuring guaranteed bounds on the estimated states and their stability. The interval observer design is based on assumption that the uncertainties and the faults magnitudes are considered as unknown but bounded. A numerical example shows the efficiency of the proposed technique. © 2016 IEEE. |
Salem, Thouraya; Chetoui, Manel; Aoun, Mohamed Instrumental variable based methods for continuous-time linear parameter varying system identification with fractional models Conférence 2016, (Cited by: 9). @conference{Salem2016640,
title = {Instrumental variable based methods for continuous-time linear parameter varying system identification with fractional models},
author = {Thouraya Salem and Manel Chetoui and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84986183506\&doi=10.1109%2fMED.2016.7536043\&partnerID=40\&md5=42b2e04961aef2ea329989e32a842690},
doi = {10.1109/MED.2016.7536043},
year = {2016},
date = {2016-01-01},
journal = {24th Mediterranean Conference on Control and Automation, MED 2016},
pages = {640 \textendash 645},
abstract = {This paper deals with continuous-time linear parameter varying (LPV) system identification with fractional models. Two variants of instrumental variables based techniques are proposed to estimate continuous-time parameters of a fractional differential equation linear parameter varying model when all fractional orders are assumed known a priori: the first one is the instrumental variables estimator based in an auxiliary model. The second one is the simplified refined instrumental variables estimator. A comparison study between the developed estimators is done via a numerical example. A Monte Carlo simulation analysis results are presented to illustrate the performances of the proposed methods in the presence of an additive output noise. © 2016 IEEE.},
note = {Cited by: 9},
keywords = {Continuous time systems, Continuous-time, Differential equations, Estimation, Fractional differential equations, Fractional differentiation, Identification (control systems), Instrumental variables, Intelligent systems, Linear parameter varying models, Linear parameter varying systems, Linear systems, LPV systems, Monte Carlo methods, Parameter estimation, Refined instrumental variables, Religious buildings},
pubstate = {published},
tppubtype = {conference}
}
This paper deals with continuous-time linear parameter varying (LPV) system identification with fractional models. Two variants of instrumental variables based techniques are proposed to estimate continuous-time parameters of a fractional differential equation linear parameter varying model when all fractional orders are assumed known a priori: the first one is the instrumental variables estimator based in an auxiliary model. The second one is the simplified refined instrumental variables estimator. A comparison study between the developed estimators is done via a numerical example. A Monte Carlo simulation analysis results are presented to illustrate the performances of the proposed methods in the presence of an additive output noise. © 2016 IEEE. |
Houiji, Marwa; Hamdaoui, Rim; Aoun, Mohamed Fault detection performances analysis for stochastic systems based on adaptive threshold Conférence 2016, (Cited by: 2). @conference{Houiji2016229,
title = {Fault detection performances analysis for stochastic systems based on adaptive threshold},
author = {Marwa Houiji and Rim Hamdaoui and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84974575297\&doi=10.1109%2fSSD.2016.7473701\&partnerID=40\&md5=0f9cdd28ba3852316e53997164690401},
doi = {10.1109/SSD.2016.7473701},
year = {2016},
date = {2016-01-01},
journal = {13th International Multi-Conference on Systems, Signals and Devices, SSD 2016},
pages = {229 \textendash 234},
abstract = {This paper investigates the problem of fault detection for discrete linear systems subjected to unknown disturbances, actuator and sensor faults. A bank of Augmented Robust Three stage Kalman filters is adapted to estimate both the state and the fault as well as to generate the residuals. Besides, this paper presents the evaluation of the residuals with Bayes test of binary hypothesis test for fault detection to adaptive threshold compared with fixed threshold. This test allow the detection of low magnitude faults as fast as possible with a minimum risk of errors, the increase of detection probability and the reduction of false alarm probability. © 2016 IEEE.},
note = {Cited by: 2},
keywords = {Actuator and sensor faults, Adaptive thresholds, Binary hypothesis tests, Detection delays, Detection performance, Detection probabilities, Discrete linear systems, False alarm probability, Fault detection, Linear systems, Signal detection, Stochastic systems},
pubstate = {published},
tppubtype = {conference}
}
This paper investigates the problem of fault detection for discrete linear systems subjected to unknown disturbances, actuator and sensor faults. A bank of Augmented Robust Three stage Kalman filters is adapted to estimate both the state and the fault as well as to generate the residuals. Besides, this paper presents the evaluation of the residuals with Bayes test of binary hypothesis test for fault detection to adaptive threshold compared with fixed threshold. This test allow the detection of low magnitude faults as fast as possible with a minimum risk of errors, the increase of detection probability and the reduction of false alarm probability. © 2016 IEEE. |
2015
|
Hmed, A. Ben; Amairi, M.; Aoun, M. Stabilizing fractional order controller design for first and second order systems Conférence 2015, (Cited by: 1). @conference{BenHmed2015c,
title = {Stabilizing fractional order controller design for first and second order systems},
author = {A. Ben Hmed and M. Amairi and M. Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962682322\&doi=10.1109%2fSSD.2015.7348217\&partnerID=40\&md5=2c2fa689ec9eee718997cc0d455c46d3},
doi = {10.1109/SSD.2015.7348217},
year = {2015},
date = {2015-01-01},
journal = {12th International Multi-Conference on Systems, Signals and Devices, SSD 2015},
abstract = {The paper deals with the stabilization problem of the Linear Time Invariant system. In this work, we present a new method of stabilization addressed to the first and second order unstable system in order to guarantee the stability and the time domain performances. Analytic expressions are developed in the purpose of setting the stabilizing parameters of the controller by describing the stability region. Moreover, the time domain-curves of the desired closed-loop system are used to show time domain specifications. Finally, some numerical examples and a control of DC motor are proposed in order to show the benefits and the reliability of the new technique. © 2015 IEEE.},
note = {Cited by: 1},
keywords = {Analytic expressions, Calculations, Closed loop systems, Control, Controllers, DC motors, Electric machine control, Fractional calculus, Fractional-order controllers, Invariance, Linear systems, Linear time invariant systems, Numerical methods, Resonance, Second-order systemss, Stability regions, Stabilization, Stabilization problems, Time domain analysis, Time varying control systems, Time-domain specifications},
pubstate = {published},
tppubtype = {conference}
}
The paper deals with the stabilization problem of the Linear Time Invariant system. In this work, we present a new method of stabilization addressed to the first and second order unstable system in order to guarantee the stability and the time domain performances. Analytic expressions are developed in the purpose of setting the stabilizing parameters of the controller by describing the stability region. Moreover, the time domain-curves of the desired closed-loop system are used to show time domain specifications. Finally, some numerical examples and a control of DC motor are proposed in order to show the benefits and the reliability of the new technique. © 2015 IEEE. |
Hmed, A. Ben; Amairi, M.; Aoun, M. Stabilizing fractional order controller design for first and second order systems Conférence 2015, (Cited by: 1). @conference{BenHmed2015e,
title = {Stabilizing fractional order controller design for first and second order systems},
author = {A. Ben Hmed and M. Amairi and M. Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962682322\&doi=10.1109%2fSSD.2015.7348217\&partnerID=40\&md5=2c2fa689ec9eee718997cc0d455c46d3},
doi = {10.1109/SSD.2015.7348217},
year = {2015},
date = {2015-01-01},
journal = {12th International Multi-Conference on Systems, Signals and Devices, SSD 2015},
abstract = {The paper deals with the stabilization problem of the Linear Time Invariant system. In this work, we present a new method of stabilization addressed to the first and second order unstable system in order to guarantee the stability and the time domain performances. Analytic expressions are developed in the purpose of setting the stabilizing parameters of the controller by describing the stability region. Moreover, the time domain-curves of the desired closed-loop system are used to show time domain specifications. Finally, some numerical examples and a control of DC motor are proposed in order to show the benefits and the reliability of the new technique. © 2015 IEEE.},
note = {Cited by: 1},
keywords = {Analytic expressions, Calculations, Closed loop systems, Control, Controllers, DC motors, Electric machine control, Fractional calculus, Fractional-order controllers, Invariance, Linear systems, Linear time invariant systems, Numerical methods, Resonance, Second-order systemss, Stability regions, Stabilization, Stabilization problems, Time domain analysis, Time varying control systems, Time-domain specifications},
pubstate = {published},
tppubtype = {conference}
}
The paper deals with the stabilization problem of the Linear Time Invariant system. In this work, we present a new method of stabilization addressed to the first and second order unstable system in order to guarantee the stability and the time domain performances. Analytic expressions are developed in the purpose of setting the stabilizing parameters of the controller by describing the stability region. Moreover, the time domain-curves of the desired closed-loop system are used to show time domain specifications. Finally, some numerical examples and a control of DC motor are proposed in order to show the benefits and the reliability of the new technique. © 2015 IEEE. |
2014
|
Houiji, Marwa; Hamdaoui, Rim; Aoun, Mohamed Detection time for deterministic and stochastic systems with unknown inputs Conférence 2014, (Cited by: 1). @conference{Houiji2014b,
title = {Detection time for deterministic and stochastic systems with unknown inputs},
author = {Marwa Houiji and Rim Hamdaoui and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946686815\&doi=10.1109%2fCISTEM.2014.7076982\&partnerID=40\&md5=0be64cd709ae198f91a4d2b9aecc2dae},
doi = {10.1109/CISTEM.2014.7076982},
year = {2014},
date = {2014-01-01},
journal = {2014 International Conference on Electrical Sciences and Technologies in Maghreb, CISTEM 2014},
abstract = {This paper investigates the detection and diagnosis of actuator faults by using an Unknown Input Observer (UIO).The proposed UIO design guarantees robust residual generation through decoupling the disturbances effects from the faults ones. The discrimination between the faults and the effects of uncertain signals and perturbations on the residues minimizes the duration of fault detection for deterministic systems. Then these results were extended to the general case of stochastic linear systems by using an optimal observers for systems with unknown disturbances and noise. A simulation is done on an aeronautic model to illustrate the theoretical development. © 2014 IEEE.},
note = {Cited by: 1},
keywords = {Detection and diagnosis, Deterministic systems, Fault detection, Linear systems, Optimal observers, Robust residuals, Stochastic linear systems, Stochastic systems, Theoretical development, Unknown disturbance, Unknown input observer},
pubstate = {published},
tppubtype = {conference}
}
This paper investigates the detection and diagnosis of actuator faults by using an Unknown Input Observer (UIO).The proposed UIO design guarantees robust residual generation through decoupling the disturbances effects from the faults ones. The discrimination between the faults and the effects of uncertain signals and perturbations on the residues minimizes the duration of fault detection for deterministic systems. Then these results were extended to the general case of stochastic linear systems by using an optimal observers for systems with unknown disturbances and noise. A simulation is done on an aeronautic model to illustrate the theoretical development. © 2014 IEEE. |
Houiji, Marwa; Hamdaoui, Rim; Aoun, Mohamed Detection time for deterministic and stochastic systems with unknown inputs Conférence 2014, (Cited by: 1). @conference{Houiji2014,
title = {Detection time for deterministic and stochastic systems with unknown inputs},
author = {Marwa Houiji and Rim Hamdaoui and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946686815\&doi=10.1109%2fCISTEM.2014.7076982\&partnerID=40\&md5=0be64cd709ae198f91a4d2b9aecc2dae},
doi = {10.1109/CISTEM.2014.7076982},
year = {2014},
date = {2014-01-01},
journal = {2014 International Conference on Electrical Sciences and Technologies in Maghreb, CISTEM 2014},
abstract = {This paper investigates the detection and diagnosis of actuator faults by using an Unknown Input Observer (UIO).The proposed UIO design guarantees robust residual generation through decoupling the disturbances effects from the faults ones. The discrimination between the faults and the effects of uncertain signals and perturbations on the residues minimizes the duration of fault detection for deterministic systems. Then these results were extended to the general case of stochastic linear systems by using an optimal observers for systems with unknown disturbances and noise. A simulation is done on an aeronautic model to illustrate the theoretical development. © 2014 IEEE.},
note = {Cited by: 1},
keywords = {Detection and diagnosis, Deterministic systems, Fault detection, Linear systems, Optimal observers, Robust residuals, Stochastic linear systems, Stochastic systems, Theoretical development, Unknown disturbance, Unknown input observer},
pubstate = {published},
tppubtype = {conference}
}
This paper investigates the detection and diagnosis of actuator faults by using an Unknown Input Observer (UIO).The proposed UIO design guarantees robust residual generation through decoupling the disturbances effects from the faults ones. The discrimination between the faults and the effects of uncertain signals and perturbations on the residues minimizes the duration of fault detection for deterministic systems. Then these results were extended to the general case of stochastic linear systems by using an optimal observers for systems with unknown disturbances and noise. A simulation is done on an aeronautic model to illustrate the theoretical development. © 2014 IEEE. |
2012
|
Aoun, Mohamed; Najar, Slaheddine; Abdelhamid, Moufida; Abdelkrim, Mohamed Naceur Continuous fractional Kalman filter Conférence 2012, (Cited by: 4). @conference{Aoun2012b,
title = {Continuous fractional Kalman filter},
author = {Mohamed Aoun and Slaheddine Najar and Moufida Abdelhamid and Mohamed Naceur Abdelkrim},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84861605131\&doi=10.1109%2fSSD.2012.6198068\&partnerID=40\&md5=3b5a3d80fe7b60e0ca04ee80eddf2959},
doi = {10.1109/SSD.2012.6198068},
year = {2012},
date = {2012-01-01},
journal = {International Multi-Conference on Systems, Signals and Devices, SSD 2012 - Summary Proceedings},
abstract = {This paper develops a new Kalman filter for linear systems described with continuous time fractional model. It extends the classical Kalman filter to deals with fractional differentiation. It is called continuous fractional Kalman Filter. The algorithm of the new filter is detailed and a suboptimal filter can be deduced. A numerical example illustrates the state estimation of a fractional model with the new filter. © 2012 IEEE.},
note = {Cited by: 4},
keywords = {Continuous time, Fractional differentiation, Fractional model, Kalman filters, Linear systems, Numerical example, State estimation, Suboptimal filter},
pubstate = {published},
tppubtype = {conference}
}
This paper develops a new Kalman filter for linear systems described with continuous time fractional model. It extends the classical Kalman filter to deals with fractional differentiation. It is called continuous fractional Kalman Filter. The algorithm of the new filter is detailed and a suboptimal filter can be deduced. A numerical example illustrates the state estimation of a fractional model with the new filter. © 2012 IEEE. |
Aoun, Mohamed; Najar, Slaheddine; Abdelhamid, Moufida; Abdelkrim, Mohamed Naceur Continuous fractional Kalman filter Conférence 2012, (Cited by: 4). @conference{Aoun2012,
title = {Continuous fractional Kalman filter},
author = {Mohamed Aoun and Slaheddine Najar and Moufida Abdelhamid and Mohamed Naceur Abdelkrim},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84861605131\&doi=10.1109%2fSSD.2012.6198068\&partnerID=40\&md5=3b5a3d80fe7b60e0ca04ee80eddf2959},
doi = {10.1109/SSD.2012.6198068},
year = {2012},
date = {2012-01-01},
journal = {International Multi-Conference on Systems, Signals and Devices, SSD 2012 - Summary Proceedings},
abstract = {This paper develops a new Kalman filter for linear systems described with continuous time fractional model. It extends the classical Kalman filter to deals with fractional differentiation. It is called continuous fractional Kalman Filter. The algorithm of the new filter is detailed and a suboptimal filter can be deduced. A numerical example illustrates the state estimation of a fractional model with the new filter. © 2012 IEEE.},
note = {Cited by: 4},
keywords = {Continuous time, Fractional differentiation, Fractional model, Kalman filters, Linear systems, Numerical example, State estimation, Suboptimal filter},
pubstate = {published},
tppubtype = {conference}
}
This paper develops a new Kalman filter for linear systems described with continuous time fractional model. It extends the classical Kalman filter to deals with fractional differentiation. It is called continuous fractional Kalman Filter. The algorithm of the new filter is detailed and a suboptimal filter can be deduced. A numerical example illustrates the state estimation of a fractional model with the new filter. © 2012 IEEE. |
2003
|
Malti, R.; Aoun, M.; Battaglia, J. -L.; Oustaloup, A.; Madani, K. Fractional Multimodels – Application to Heat Transfer Modeling Conférence vol. 36, no. 16, 2003, (Cited by: 4). @conference{Malti20031663b,
title = {Fractional Multimodels - Application to Heat Transfer Modeling},
author = {R. Malti and M. Aoun and J. -L. Battaglia and A. Oustaloup and K. Madani},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84875296967\&doi=10.1016%2fS1474-6670%2817%2934999-6\&partnerID=40\&md5=4d376fa9be56a199ca80c932be521309},
doi = {10.1016/S1474-6670(17)34999-6},
year = {2003},
date = {2003-01-01},
journal = {IFAC Proceedings Volumes (IFAC-PapersOnline)},
volume = {36},
number = {16},
pages = {1663 \textendash 1668},
abstract = {This paper deals with identification of non linear systems using non linear fractional differentiation multimodels. All sub-models are described by fractional differentiation transfer functions. Performance of the newly proposed class of models is illustrated on a heat transfer process near a phase change temperature. © 2003 International Federation of Automatic Control.},
note = {Cited by: 4},
keywords = {Fractional differentiation, Fractional dynamics, Fractional order, Heat transfer model, Heat transfer performance, Heat transfer process, Identification (control systems), Linear systems, Multi-model, Multi-models, Nonlinear systems, Phase change temperature},
pubstate = {published},
tppubtype = {conference}
}
This paper deals with identification of non linear systems using non linear fractional differentiation multimodels. All sub-models are described by fractional differentiation transfer functions. Performance of the newly proposed class of models is illustrated on a heat transfer process near a phase change temperature. © 2003 International Federation of Automatic Control. |
Malti, R.; Aoun, M.; Battaglia, J. -L.; Oustaloup, A.; Madani, K. Fractional Multimodels – Application to Heat Transfer Modeling Conférence vol. 36, no. 16, 2003, (Cited by: 4). @conference{Malti20031663,
title = {Fractional Multimodels - Application to Heat Transfer Modeling},
author = {R. Malti and M. Aoun and J. -L. Battaglia and A. Oustaloup and K. Madani},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84875296967\&doi=10.1016%2fS1474-6670%2817%2934999-6\&partnerID=40\&md5=4d376fa9be56a199ca80c932be521309},
doi = {10.1016/S1474-6670(17)34999-6},
year = {2003},
date = {2003-01-01},
journal = {IFAC Proceedings Volumes (IFAC-PapersOnline)},
volume = {36},
number = {16},
pages = {1663 \textendash 1668},
abstract = {This paper deals with identification of non linear systems using non linear fractional differentiation multimodels. All sub-models are described by fractional differentiation transfer functions. Performance of the newly proposed class of models is illustrated on a heat transfer process near a phase change temperature. © 2003 International Federation of Automatic Control.},
note = {Cited by: 4},
keywords = {Fractional differentiation, Fractional dynamics, Fractional order, Heat transfer model, Heat transfer performance, Heat transfer process, Identification (control systems), Linear systems, Multi-model, Multi-models, Nonlinear systems, Phase change temperature},
pubstate = {published},
tppubtype = {conference}
}
This paper deals with identification of non linear systems using non linear fractional differentiation multimodels. All sub-models are described by fractional differentiation transfer functions. Performance of the newly proposed class of models is illustrated on a heat transfer process near a phase change temperature. © 2003 International Federation of Automatic Control. |
2002
|
Aoun, Mohamed; Malti, Rachid; Cois, Olivier; Oustaloup, Alain System identification using fractional hammerstein models Conférence vol. 15, no. 1, 2002, (Cited by: 23). @conference{Aoun2002265b,
title = {System identification using fractional hammerstein models},
author = {Mohamed Aoun and Rachid Malti and Olivier Cois and Alain Oustaloup},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84945550683\&doi=10.3182%2f20020721-6-es-1901.01030\&partnerID=40\&md5=106ff8852a5dbedf91e03c25f0e7bb03},
doi = {10.3182/20020721-6-es-1901.01030},
year = {2002},
date = {2002-01-01},
journal = {IFAC Proceedings Volumes (IFAC-PapersOnline)},
volume = {15},
number = {1},
pages = {265 \textendash 269},
abstract = {Identification of continuous-time non-linear systems characterised by fractional order dynamics is studied. The Riemann-Liouville definition of fractional differentiation is used. A new identification method is proposed through the extension of Hammerstein-type models by allowing their linear part to belong to the class of fractional models. Fractional models are compact and so are used here to model complex dynamics with few parameters. Copyright © 2002 IFAC.},
note = {Cited by: 23},
keywords = {Automation, Continuous time systems, Fractional differentiation, Fractional model, Fractional order, Hammerstein model, Hammerstein-type models, Identification (control systems), Identification method, Linear systems, Non-linear modelling, Nonlinear systems, Riemann-liouville definitions},
pubstate = {published},
tppubtype = {conference}
}
Identification of continuous-time non-linear systems characterised by fractional order dynamics is studied. The Riemann-Liouville definition of fractional differentiation is used. A new identification method is proposed through the extension of Hammerstein-type models by allowing their linear part to belong to the class of fractional models. Fractional models are compact and so are used here to model complex dynamics with few parameters. Copyright © 2002 IFAC. |
Aoun, Mohamed; Malti, Rachid; Cois, Olivier; Oustaloup, Alain System identification using fractional hammerstein models Conférence vol. 15, no. 1, 2002, (Cited by: 23). @conference{Aoun2002265,
title = {System identification using fractional hammerstein models},
author = {Mohamed Aoun and Rachid Malti and Olivier Cois and Alain Oustaloup},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84945550683\&doi=10.3182%2f20020721-6-es-1901.01030\&partnerID=40\&md5=106ff8852a5dbedf91e03c25f0e7bb03},
doi = {10.3182/20020721-6-es-1901.01030},
year = {2002},
date = {2002-01-01},
journal = {IFAC Proceedings Volumes (IFAC-PapersOnline)},
volume = {15},
number = {1},
pages = {265 \textendash 269},
abstract = {Identification of continuous-time non-linear systems characterised by fractional order dynamics is studied. The Riemann-Liouville definition of fractional differentiation is used. A new identification method is proposed through the extension of Hammerstein-type models by allowing their linear part to belong to the class of fractional models. Fractional models are compact and so are used here to model complex dynamics with few parameters. Copyright © 2002 IFAC.},
note = {Cited by: 23},
keywords = {Automation, Continuous time systems, Fractional differentiation, Fractional model, Fractional order, Hammerstein model, Hammerstein-type models, Identification (control systems), Identification method, Linear systems, Non-linear modelling, Nonlinear systems, Riemann-liouville definitions},
pubstate = {published},
tppubtype = {conference}
}
Identification of continuous-time non-linear systems characterised by fractional order dynamics is studied. The Riemann-Liouville definition of fractional differentiation is used. A new identification method is proposed through the extension of Hammerstein-type models by allowing their linear part to belong to the class of fractional models. Fractional models are compact and so are used here to model complex dynamics with few parameters. Copyright © 2002 IFAC. |
