2023
|
Saafi, Omar; Dabbaghi, Boudour; Hamidi, Faical; Aoun, Mohamed Particle swarm optimization-based solutions for identification problems of autonomous hybrid switching systems Conférence 2023. @conference{Saafi2023b,
title = {Particle swarm optimization-based solutions for identification problems of autonomous hybrid switching systems},
author = {Omar Saafi and Boudour Dabbaghi and Faical Hamidi and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182924528\&doi=10.1109%2fIW_MSS59200.2023.10369212\&partnerID=40\&md5=100bf547f598cc0f36cc7adc5d8c3fa0},
doi = {10.1109/IW_MSS59200.2023.10369212},
year = {2023},
date = {2023-01-01},
journal = {2023 IEEE International Workshop on Mechatronics Systems Supervision, IW_MSS 2023},
abstract = {In this paper we propose a new optimization technique based on an evolutionary method known as particle swarm optimization (PSO) for solving and specifying the switching instants of hybrid systems. The main objective is to minimize a performance measure that depends on these switching instants within a finite time interval. Our approach assumes that there is a predefined sequence of system modes and, at each switching instant, it is possible for a state-space variable to jump from one mode to another, resulting in an additional associated cost. Our approach is justified by numerical examples and compared with the results obtained by gradient-based methods. The results obtained by PSO are very promising, without requiring any a priori assumptions about the regularity of the objective function to be minimized. © 2023 IEEE.},
keywords = {Autonomous switching sequence, Hybrid switched systems, Hybrid switching systems, Hybrid systems, Identification problem, Numerical methods, Optimization techniques, Particle swarm, Particle swarm optimization, Particle swarm optimization (PSO), Swarm optimization, Switching instants, Switching sequence},
pubstate = {published},
tppubtype = {conference}
}
In this paper we propose a new optimization technique based on an evolutionary method known as particle swarm optimization (PSO) for solving and specifying the switching instants of hybrid systems. The main objective is to minimize a performance measure that depends on these switching instants within a finite time interval. Our approach assumes that there is a predefined sequence of system modes and, at each switching instant, it is possible for a state-space variable to jump from one mode to another, resulting in an additional associated cost. Our approach is justified by numerical examples and compared with the results obtained by gradient-based methods. The results obtained by PSO are very promising, without requiring any a priori assumptions about the regularity of the objective function to be minimized. © 2023 IEEE. |
Saafi, Omar; Dabbaghi, Boudour; Hamidi, Faical; Aoun, Mohamed Particle swarm optimization-based solutions for identification problems of autonomous hybrid switching systems Conférence 2023. @conference{Saafi2023,
title = {Particle swarm optimization-based solutions for identification problems of autonomous hybrid switching systems},
author = {Omar Saafi and Boudour Dabbaghi and Faical Hamidi and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182924528\&doi=10.1109%2fIW_MSS59200.2023.10369212\&partnerID=40\&md5=100bf547f598cc0f36cc7adc5d8c3fa0},
doi = {10.1109/IW_MSS59200.2023.10369212},
year = {2023},
date = {2023-01-01},
journal = {2023 IEEE International Workshop on Mechatronics Systems Supervision, IW_MSS 2023},
abstract = {In this paper we propose a new optimization technique based on an evolutionary method known as particle swarm optimization (PSO) for solving and specifying the switching instants of hybrid systems. The main objective is to minimize a performance measure that depends on these switching instants within a finite time interval. Our approach assumes that there is a predefined sequence of system modes and, at each switching instant, it is possible for a state-space variable to jump from one mode to another, resulting in an additional associated cost. Our approach is justified by numerical examples and compared with the results obtained by gradient-based methods. The results obtained by PSO are very promising, without requiring any a priori assumptions about the regularity of the objective function to be minimized. © 2023 IEEE.},
keywords = {Autonomous switching sequence, Hybrid switched systems, Hybrid switching systems, Hybrid systems, Identification problem, Numerical methods, Optimization techniques, Particle swarm, Particle swarm optimization, Particle swarm optimization (PSO), Swarm optimization, Switching instants, Switching sequence},
pubstate = {published},
tppubtype = {conference}
}
In this paper we propose a new optimization technique based on an evolutionary method known as particle swarm optimization (PSO) for solving and specifying the switching instants of hybrid systems. The main objective is to minimize a performance measure that depends on these switching instants within a finite time interval. Our approach assumes that there is a predefined sequence of system modes and, at each switching instant, it is possible for a state-space variable to jump from one mode to another, resulting in an additional associated cost. Our approach is justified by numerical examples and compared with the results obtained by gradient-based methods. The results obtained by PSO are very promising, without requiring any a priori assumptions about the regularity of the objective function to be minimized. © 2023 IEEE. |
2022
|
Jerbi, Houssem; Dabbagui, Boudour; Hamidi, Faical; Aoun, Mohamad; Bouazzi, Yassine; Aoun, Sondess Ben Computing the Domain of Attraction using Numerical Techniques Conférence 2022, (Cited by: 0). @conference{Jerbi2022b,
title = {Computing the Domain of Attraction using Numerical Techniques},
author = {Houssem Jerbi and Boudour Dabbagui and Faical Hamidi and Mohamad Aoun and Yassine Bouazzi and Sondess Ben Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134079276\&doi=10.1109%2fICAAID51067.2022.9799499\&partnerID=40\&md5=74612f4dcc28a8c7f1c2bfe63a8c27d5},
doi = {10.1109/ICAAID51067.2022.9799499},
year = {2022},
date = {2022-01-01},
journal = {Proceedings - 2022 4th International Conference on Applied Automation and Industrial Diagnostics, ICAAID 2022},
abstract = {Stability analysis of controlled nonlinear systems is a problem of fundamental importance in system engineering. This paper elaborates an explicit numerical technique to maximize a quadratic Lyapunov function for the class of polynomial nonlinear models. Using the computed Lyapunov function an enlarged subsets of the basin of attraction of an asymptotically stable equilibrium can be computed in an iterative analytical way. We mainly use the Carleman linearization technique that converts a nonlinear autonomous system of finite dimension into an equivalent linear infinite dimension one. We implement the sampling technique as a numerical tool allowing the maximization of estimated regions of attraction. An example is given to demonstrate the efficiency of the proposed approach. The numerical study analysis of the designed scheme is led using the Matlab software environment. © 2022 IEEE.},
note = {Cited by: 0},
keywords = {Asymptotically stable equilibrium, Basins of attraction, Carleman linearization, Domain of attraction, Iterative methods, Linearization, Lyapunov functions, Lyapunov's functions, Lypaunov functions, MATLAB, Non-linear modelling, Nonlinear systems, Numerical methods, Numerical techniques, Quadratic lyapunov function, Stability analyze, System stability},
pubstate = {published},
tppubtype = {conference}
}
Stability analysis of controlled nonlinear systems is a problem of fundamental importance in system engineering. This paper elaborates an explicit numerical technique to maximize a quadratic Lyapunov function for the class of polynomial nonlinear models. Using the computed Lyapunov function an enlarged subsets of the basin of attraction of an asymptotically stable equilibrium can be computed in an iterative analytical way. We mainly use the Carleman linearization technique that converts a nonlinear autonomous system of finite dimension into an equivalent linear infinite dimension one. We implement the sampling technique as a numerical tool allowing the maximization of estimated regions of attraction. An example is given to demonstrate the efficiency of the proposed approach. The numerical study analysis of the designed scheme is led using the Matlab software environment. © 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. |
Jerbi, Houssem; Dabbagui, Boudour; Hamidi, Faical; Aoun, Mohamad; Bouazzi, Yassine; Aoun, Sondess Ben Computing the Domain of Attraction using Numerical Techniques Conférence 2022, (Cited by: 0). @conference{Jerbi2022,
title = {Computing the Domain of Attraction using Numerical Techniques},
author = {Houssem Jerbi and Boudour Dabbagui and Faical Hamidi and Mohamad Aoun and Yassine Bouazzi and Sondess Ben Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134079276\&doi=10.1109%2fICAAID51067.2022.9799499\&partnerID=40\&md5=74612f4dcc28a8c7f1c2bfe63a8c27d5},
doi = {10.1109/ICAAID51067.2022.9799499},
year = {2022},
date = {2022-01-01},
journal = {Proceedings - 2022 4th International Conference on Applied Automation and Industrial Diagnostics, ICAAID 2022},
abstract = {Stability analysis of controlled nonlinear systems is a problem of fundamental importance in system engineering. This paper elaborates an explicit numerical technique to maximize a quadratic Lyapunov function for the class of polynomial nonlinear models. Using the computed Lyapunov function an enlarged subsets of the basin of attraction of an asymptotically stable equilibrium can be computed in an iterative analytical way. We mainly use the Carleman linearization technique that converts a nonlinear autonomous system of finite dimension into an equivalent linear infinite dimension one. We implement the sampling technique as a numerical tool allowing the maximization of estimated regions of attraction. An example is given to demonstrate the efficiency of the proposed approach. The numerical study analysis of the designed scheme is led using the Matlab software environment. © 2022 IEEE.},
note = {Cited by: 0},
keywords = {Asymptotically stable equilibrium, Basins of attraction, Carleman linearization, Domain of attraction, Iterative methods, Linearization, Lyapunov functions, Lyapunov's functions, Lypaunov functions, MATLAB, Non-linear modelling, Nonlinear systems, Numerical methods, Numerical techniques, Quadratic lyapunov function, Stability analyze, System stability},
pubstate = {published},
tppubtype = {conference}
}
Stability analysis of controlled nonlinear systems is a problem of fundamental importance in system engineering. This paper elaborates an explicit numerical technique to maximize a quadratic Lyapunov function for the class of polynomial nonlinear models. Using the computed Lyapunov function an enlarged subsets of the basin of attraction of an asymptotically stable equilibrium can be computed in an iterative analytical way. We mainly use the Carleman linearization technique that converts a nonlinear autonomous system of finite dimension into an equivalent linear infinite dimension one. We implement the sampling technique as a numerical tool allowing the maximization of estimated regions of attraction. An example is given to demonstrate the efficiency of the proposed approach. The numerical study analysis of the designed scheme is led using the Matlab software environment. © 2022 IEEE. |
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. |
Mayoufi, Abir; Chetoui, Manel; Victor, Stephans; Aoun, Mohamed; Malti, Rachid A comparison between two methods for MISO fractional models estimation Conférence 2020, (Cited by: 0). @conference{Mayoufi2020446b,
title = {A comparison between two methods for MISO fractional models estimation},
author = {Abir Mayoufi and Manel Chetoui and Stephans Victor and Mohamed Aoun and Rachid Malti},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103003953\&doi=10.1109%2fSSD49366.2020.9364187\&partnerID=40\&md5=b9525866e8a24d2426d03414f5810e22},
doi = {10.1109/SSD49366.2020.9364187},
year = {2020},
date = {2020-01-01},
journal = {Proceedings of the 17th International Multi-Conference on Systems, Signals and Devices, SSD 2020},
pages = {446 \textendash 451},
abstract = {This paper proposes two new methods for multiple input-single output system identification with fractional models: The instrumental variable based method and the output-error based method. The fractional orders are supposed known and the linear coefficients are estimated. A comparative study between the developed methods is illustrated via a numerical example. Monte Carlo simulations are used to demonstrate the efficiency of the two methods. © 2020 IEEE.},
note = {Cited by: 0},
keywords = {Comparative studies, Fractional model, Fractional order, Instrumental variables, Linear coefficients, Monte Carlo methods, Multiple input single output systems, Numerical methods, Output errors},
pubstate = {published},
tppubtype = {conference}
}
This paper proposes two new methods for multiple input-single output system identification with fractional models: The instrumental variable based method and the output-error based method. The fractional orders are supposed known and the linear coefficients are estimated. A comparative study between the developed methods is illustrated via a numerical example. Monte Carlo simulations are used to demonstrate the efficiency of the two methods. © 2020 IEEE. |
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. |
Mayoufi, Abir; Chetoui, Manel; Victor, Stephans; Aoun, Mohamed; Malti, Rachid A comparison between two methods for MISO fractional models estimation Conférence 2020, (Cited by: 0). @conference{Mayoufi2020446,
title = {A comparison between two methods for MISO fractional models estimation},
author = {Abir Mayoufi and Manel Chetoui and Stephans Victor and Mohamed Aoun and Rachid Malti},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103003953\&doi=10.1109%2fSSD49366.2020.9364187\&partnerID=40\&md5=b9525866e8a24d2426d03414f5810e22},
doi = {10.1109/SSD49366.2020.9364187},
year = {2020},
date = {2020-01-01},
journal = {Proceedings of the 17th International Multi-Conference on Systems, Signals and Devices, SSD 2020},
pages = {446 \textendash 451},
abstract = {This paper proposes two new methods for multiple input-single output system identification with fractional models: The instrumental variable based method and the output-error based method. The fractional orders are supposed known and the linear coefficients are estimated. A comparative study between the developed methods is illustrated via a numerical example. Monte Carlo simulations are used to demonstrate the efficiency of the two methods. © 2020 IEEE.},
note = {Cited by: 0},
keywords = {Comparative studies, Fractional model, Fractional order, Instrumental variables, Linear coefficients, Monte Carlo methods, Multiple input single output systems, Numerical methods, Output errors},
pubstate = {published},
tppubtype = {conference}
}
This paper proposes two new methods for multiple input-single output system identification with fractional models: The instrumental variable based method and the output-error based method. The fractional orders are supposed known and the linear coefficients are estimated. A comparative study between the developed methods is illustrated via a numerical example. Monte Carlo simulations are used to demonstrate the efficiency of the two methods. © 2020 IEEE. |
2019
|
Atitallah, Halima; Aribi, Asma; Aoun, Mohamed Tracking Control Design for Fractional Systems with Time Delay Conférence 2019, (Cited by: 0). @conference{Atitallah2019280b,
title = {Tracking Control Design for Fractional Systems with Time Delay},
author = {Halima Atitallah and Asma Aribi and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067126817\&doi=10.1109%2fSTA.2019.8717225\&partnerID=40\&md5=8533279ab21aee4982e90554b48e071f},
doi = {10.1109/STA.2019.8717225},
year = {2019},
date = {2019-01-01},
journal = {19th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2019},
pages = {280 \textendash 285},
abstract = {Fault tolerant control has been an important subject for many researchers. Nevertheless, there are few works dealing with fractional systems up to now and especially in presence of time delay. In this context, this paper proposes a tracking control design for fractional order system with time delay. The aim is to control the system in order to obtain the same performances of a time delay fractional reference model. The controller parameters are computed in both nominal and faulty functioning in case the state is available and unavailable for measurement. The efficiency of the proposed method is illustrated through a numerical example. © 2019 IEEE.},
note = {Cited by: 0},
keywords = {Automation, Controller parameter, Delay control systems, Fault tolerant control, Fractional systems, Fractional-order systems, Navigation, Numerical methods, Process control, Reference modeling, Time delay, Timing circuits, Tracking controls},
pubstate = {published},
tppubtype = {conference}
}
Fault tolerant control has been an important subject for many researchers. Nevertheless, there are few works dealing with fractional systems up to now and especially in presence of time delay. In this context, this paper proposes a tracking control design for fractional order system with time delay. The aim is to control the system in order to obtain the same performances of a time delay fractional reference model. The controller parameters are computed in both nominal and faulty functioning in case the state is available and unavailable for measurement. The efficiency of the proposed method is illustrated through a numerical example. © 2019 IEEE. |
Atitallah, Halima; Aribi, Asma; Aoun, Mohamed Fault estimation using adaptive observer-based technique for time delay fractional-order systems Conférence 2019, (Cited by: 0). @conference{Atitallah2019399b,
title = {Fault estimation using adaptive observer-based technique for time delay fractional-order systems},
author = {Halima Atitallah and Asma Aribi and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074421838\&doi=10.1109%2fASET.2019.8871006\&partnerID=40\&md5=ee4994e2c9873cf3aca7262af2383d7b},
doi = {10.1109/ASET.2019.8871006},
year = {2019},
date = {2019-01-01},
journal = {Proceedings of International Conference on Advanced Systems and Emergent Technologies, IC_ASET 2019},
pages = {399 \textendash 405},
abstract = {This paper proposes a technique to detect and estimate faults for fractional-order systems with time delay. Two observers are used in this method. Indeed, a time-delay fractional Luenberger observer is generated to detect fault. An adaptive fractional order with time delay observer is then constructed to estimate the fault by providing an on-line estimation algorithm. The convergence criteria of this observer is expressed via linear matrix inequalities (LMIs) by the use of a specific Lyapunov function considering the continuous frequency disturbed model. The validity of the fault detection and estimation technique is shown by a numerical example. © 2019 IEEE.},
note = {Cited by: 0},
keywords = {Adaptive observer, Continuous frequency, Convergence criterion, Detection and estimation, Fault detection, Fault estimation, Fractional systems, Fractional-order systems, Linear matrix inequalities, Luenberger observers, Lyapunov functions, Numerical methods, Time delay, Timing circuits},
pubstate = {published},
tppubtype = {conference}
}
This paper proposes a technique to detect and estimate faults for fractional-order systems with time delay. Two observers are used in this method. Indeed, a time-delay fractional Luenberger observer is generated to detect fault. An adaptive fractional order with time delay observer is then constructed to estimate the fault by providing an on-line estimation algorithm. The convergence criteria of this observer is expressed via linear matrix inequalities (LMIs) by the use of a specific Lyapunov function considering the continuous frequency disturbed model. The validity of the fault detection and estimation technique is shown by a numerical example. © 2019 IEEE. |
Atitallah, Halima; Aribi, Asma; Aoun, Mohamed Tracking Control Design for Fractional Systems with Time Delay Conférence 2019, (Cited by: 0). @conference{Atitallah2019280,
title = {Tracking Control Design for Fractional Systems with Time Delay},
author = {Halima Atitallah and Asma Aribi and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067126817\&doi=10.1109%2fSTA.2019.8717225\&partnerID=40\&md5=8533279ab21aee4982e90554b48e071f},
doi = {10.1109/STA.2019.8717225},
year = {2019},
date = {2019-01-01},
journal = {19th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2019},
pages = {280 \textendash 285},
abstract = {Fault tolerant control has been an important subject for many researchers. Nevertheless, there are few works dealing with fractional systems up to now and especially in presence of time delay. In this context, this paper proposes a tracking control design for fractional order system with time delay. The aim is to control the system in order to obtain the same performances of a time delay fractional reference model. The controller parameters are computed in both nominal and faulty functioning in case the state is available and unavailable for measurement. The efficiency of the proposed method is illustrated through a numerical example. © 2019 IEEE.},
note = {Cited by: 0},
keywords = {Automation, Controller parameter, Delay control systems, Fault tolerant control, Fractional systems, Fractional-order systems, Navigation, Numerical methods, Process control, Reference modeling, Time delay, Timing circuits, Tracking controls},
pubstate = {published},
tppubtype = {conference}
}
Fault tolerant control has been an important subject for many researchers. Nevertheless, there are few works dealing with fractional systems up to now and especially in presence of time delay. In this context, this paper proposes a tracking control design for fractional order system with time delay. The aim is to control the system in order to obtain the same performances of a time delay fractional reference model. The controller parameters are computed in both nominal and faulty functioning in case the state is available and unavailable for measurement. The efficiency of the proposed method is illustrated through a numerical example. © 2019 IEEE. |
Atitallah, Halima; Aribi, Asma; Aoun, Mohamed Fault estimation using adaptive observer-based technique for time delay fractional-order systems Conférence 2019, (Cited by: 0). @conference{Atitallah2019399,
title = {Fault estimation using adaptive observer-based technique for time delay fractional-order systems},
author = {Halima Atitallah and Asma Aribi and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074421838\&doi=10.1109%2fASET.2019.8871006\&partnerID=40\&md5=ee4994e2c9873cf3aca7262af2383d7b},
doi = {10.1109/ASET.2019.8871006},
year = {2019},
date = {2019-01-01},
journal = {Proceedings of International Conference on Advanced Systems and Emergent Technologies, IC_ASET 2019},
pages = {399 \textendash 405},
abstract = {This paper proposes a technique to detect and estimate faults for fractional-order systems with time delay. Two observers are used in this method. Indeed, a time-delay fractional Luenberger observer is generated to detect fault. An adaptive fractional order with time delay observer is then constructed to estimate the fault by providing an on-line estimation algorithm. The convergence criteria of this observer is expressed via linear matrix inequalities (LMIs) by the use of a specific Lyapunov function considering the continuous frequency disturbed model. The validity of the fault detection and estimation technique is shown by a numerical example. © 2019 IEEE.},
note = {Cited by: 0},
keywords = {Adaptive observer, Continuous frequency, Convergence criterion, Detection and estimation, Fault detection, Fault estimation, Fractional systems, Fractional-order systems, Linear matrix inequalities, Luenberger observers, Lyapunov functions, Numerical methods, Time delay, Timing circuits},
pubstate = {published},
tppubtype = {conference}
}
This paper proposes a technique to detect and estimate faults for fractional-order systems with time delay. Two observers are used in this method. Indeed, a time-delay fractional Luenberger observer is generated to detect fault. An adaptive fractional order with time delay observer is then constructed to estimate the fault by providing an on-line estimation algorithm. The convergence criteria of this observer is expressed via linear matrix inequalities (LMIs) by the use of a specific Lyapunov function considering the continuous frequency disturbed model. The validity of the fault detection and estimation technique is shown by a numerical example. © 2019 IEEE. |
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. |
Guefrachi, Ayadi; Najar, Slaheddine; Amairi, Messaoud; Aoun, Mohamed Tuning of Fractional Complex Order PID Controller Conférence vol. 50, no. 1, 2017, (Cited by: 22; All Open Access, Bronze Open Access). @conference{Guefrachi201714563b,
title = {Tuning of Fractional Complex Order PID Controller},
author = {Ayadi Guefrachi and Slaheddine Najar and Messaoud Amairi and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044862009\&doi=10.1016%2fj.ifacol.2017.08.2093\&partnerID=40\&md5=7d6e94566853a2d70c14eca6f8255d30},
doi = {10.1016/j.ifacol.2017.08.2093},
year = {2017},
date = {2017-01-01},
volume = {50},
number = {1},
pages = {14563 \textendash 14568},
abstract = {This paper deals with a new structure of Fractional Complex Order Controller (FCOC) with the form PIDx+iy, in which x and y are the real and imaginary parts of the derivative complex order, respectively. A tuning method for the Controller based on numerical optimization is presented to ensure the controlled system robustness toward gain variations and noise. This can be obtained by fulfilling five design requirements. The proposed design method is applied for the control of a Second Order Plus Time Delay resonant system. The effectiveness of the FCOC design method is checked through frequency and time domain analysis. © 2017},
note = {Cited by: 22; All Open Access, Bronze Open Access},
keywords = {Calculations, Complex order controllers, Controlled system robustness, Controllers, Delay control systems, Design, Electric control equipment, Fractional calculus, Frequency and time domains, Frequency domain analysis, Gain variations, Numeric optimization, Numerical methods, Numerical optimizations, Optimization, PID controllers, Proportional control systems, Robust control, Three term control systems, Time domain analysis},
pubstate = {published},
tppubtype = {conference}
}
This paper deals with a new structure of Fractional Complex Order Controller (FCOC) with the form PIDx+iy, in which x and y are the real and imaginary parts of the derivative complex order, respectively. A tuning method for the Controller based on numerical optimization is presented to ensure the controlled system robustness toward gain variations and noise. This can be obtained by fulfilling five design requirements. The proposed design method is applied for the control of a Second Order Plus Time Delay resonant system. The effectiveness of the FCOC design method is checked through frequency and time domain analysis. © 2017 |
Yousfi, Basma; Raïssi, Tarek; Amairi, Messaoud; Aoun, Mohamed Set-membership methodology for model-based prognosis Article de journal Dans: ISA Transactions, vol. 66, p. 216 – 225, 2017, (Cited by: 19). @article{Yousfi2017216b,
title = {Set-membership methodology for model-based prognosis},
author = {Basma Yousfi and Tarek Ra\"{i}ssi and Messaoud Amairi and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006175186\&doi=10.1016%2fj.isatra.2016.09.025\&partnerID=40\&md5=0fb0b0d207af4e0d1a99ea02e82e994f},
doi = {10.1016/j.isatra.2016.09.025},
year = {2017},
date = {2017-01-01},
journal = {ISA Transactions},
volume = {66},
pages = {216 \textendash 225},
abstract = {This paper addresses model-based prognosis to predict Remaining Useful Life (RUL) of a class of dynamical systems. The methodology is based on singular perturbed techniques to take into account the slow behavior of degradations. The full-order system is firstly decoupled into slow and fast subsystems. An interval observer is designed for both subsystems under the assumption that the measurement noise and the disturbances are bounded. Then, the degradation is modeled as a polynomial whose parameters are estimated using ellipsoid algorithms. Finally, the RUL is predicted based on an interval evaluation of the degradation model over a time horizon. A numerical example illustrates the proposed technique. © 2016 ISA},
note = {Cited by: 19},
keywords = {algorithm, article, Damage, Dynamical systems, human, Interval observers, noise, Numerical methods, Perturbation techniques, Prognosis, Remaining useful lives, Singularly perturbed systems},
pubstate = {published},
tppubtype = {article}
}
This paper addresses model-based prognosis to predict Remaining Useful Life (RUL) of a class of dynamical systems. The methodology is based on singular perturbed techniques to take into account the slow behavior of degradations. The full-order system is firstly decoupled into slow and fast subsystems. An interval observer is designed for both subsystems under the assumption that the measurement noise and the disturbances are bounded. Then, the degradation is modeled as a polynomial whose parameters are estimated using ellipsoid algorithms. Finally, the RUL is predicted based on an interval evaluation of the degradation model over a time horizon. A numerical example illustrates the proposed technique. © 2016 ISA |
Atitallah, Halima; Aribi, Asma; Aoun, Mohamed Diagnosis of time-delay fractional systems Conférence 2017, (Cited by: 3). @conference{Atitallah2017284b,
title = {Diagnosis of time-delay fractional systems},
author = {Halima Atitallah and Asma Aribi and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85024400530\&doi=10.1109%2fSTA.2016.7952042\&partnerID=40\&md5=7df0719cec19ecdfbff3cbb2ec3bfeda},
doi = {10.1109/STA.2016.7952042},
year = {2017},
date = {2017-01-01},
journal = {2016 17th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2016 - Proceedings},
pages = {284 \textendash 292},
abstract = {In this paper, a model-based diagnosis method, called Luenberger diagnosis observer, recently developed for fractional order systems, is extended for time-delay fractional systems. A sufficient convergence condition of the fault indicator using Bilinear Matrix Inequalities is detailed. A numerical example illustrating the method's validity in detecting faults is finally presented. © 2016 IEEE.},
note = {Cited by: 3},
keywords = {Automation, Bilinear matrix inequality, Convergence conditions, Convergence of numerical methods, Delay control systems, Diagnosis, Fault detection, Fault indicators, Fractional systems, Fractional-order systems, Luenberger observers, Model based diagnosis, Numerical methods, Process control, residual, Time delay},
pubstate = {published},
tppubtype = {conference}
}
In this paper, a model-based diagnosis method, called Luenberger diagnosis observer, recently developed for fractional order systems, is extended for time-delay fractional systems. A sufficient convergence condition of the fault indicator using Bilinear Matrix Inequalities is detailed. A numerical example illustrating the method’s validity in detecting faults is finally presented. © 2016 IEEE. |
Ethabet, Haifa; Raissi, Tarek; Amairi, Messaoud; Aoun, Mohamed Interval observers design for continuous-time linear switched systems Conférence vol. 50, no. 1, 2017, (Cited by: 30; All Open Access, Bronze Open Access, Green Open Access). @conference{Ethabet20176259b,
title = {Interval observers design for continuous-time linear switched systems},
author = {Haifa Ethabet and Tarek Raissi and Messaoud Amairi and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85031767516\&doi=10.1016%2fj.ifacol.2017.08.853\&partnerID=40\&md5=b7ce9a3999f96f39d9cce2a73ac72501},
doi = {10.1016/j.ifacol.2017.08.853},
year = {2017},
date = {2017-01-01},
journal = {IFAC-PapersOnLine},
volume = {50},
number = {1},
pages = {6259 \textendash 6264},
abstract = {This paper is devoted to investigate interval observers design for linear switched systems. The considered systems are subject to disturbances which are assumed to be unknown but bounded. First, observer gains are computed to ensure the stability of the estimation error. Then, under some changes of coordinates an interval observer is designed. Efficiency of the proposed method is demonstrated through a numerical example. © 2017},
note = {Cited by: 30; All Open Access, Bronze Open Access, Green Open Access},
keywords = {Continuous time systems, Continuous-time linear switched systems, Convergence of numerical methods, Cooperativity, Estimation errors, Hybrid systems, Interval observers, Linear switched systems, Numerical methods, Observer gain, Switched system, Unknown but bounded},
pubstate = {published},
tppubtype = {conference}
}
This paper is devoted to investigate interval observers design for linear switched systems. The considered systems are subject to disturbances which are assumed to be unknown but bounded. First, observer gains are computed to ensure the stability of the estimation error. Then, under some changes of coordinates an interval observer is designed. Efficiency of the proposed method is demonstrated through a numerical example. © 2017 |
Yakoub, Z.; Amairi, M.; Chetoui, M.; Saidi, B.; Aoun, M. Model-free adaptive fractional order control of stable linear time-varying systems Article de journal Dans: ISA Transactions, vol. 67, p. 193 – 207, 2017, (Cited by: 22). @article{Yakoub2017193b,
title = {Model-free adaptive fractional order control of stable linear time-varying systems},
author = {Z. Yakoub and M. Amairi and M. Chetoui and B. Saidi and M. Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011092641\&doi=10.1016%2fj.isatra.2017.01.023\&partnerID=40\&md5=ef003af63081afd7289f8c88ae23e48f},
doi = {10.1016/j.isatra.2017.01.023},
year = {2017},
date = {2017-01-01},
journal = {ISA Transactions},
volume = {67},
pages = {193 \textendash 207},
abstract = {This paper presents a new model-free adaptive fractional order control approach for linear time-varying systems. An online algorithm is proposed to determine some frequency characteristics using a selective filtering and to design a fractional PID controller based on the numerical optimization of the frequency-domain criterion. When the system parameters are time-varying, the controller is updated to keep the same desired performances. The main advantage of the proposed approach is that the controller design depends only on the measured input and output signals of the process. The effectiveness of the proposed method is assessed through a numerical example. © 2017 ISA},
note = {Cited by: 22},
keywords = {Adaptive control systems, Calculations, Controllers, Fractional calculus, Fractional order control, Fractional pid controllers, Frequency characteristic, Frequency domain analysis, Linear time-varying systems, Model-free adaptive control, Numerical methods, Numerical optimizations, Optimization, Robustness (control systems), Selective filtering, Three term control systems, Time varying control systems},
pubstate = {published},
tppubtype = {article}
}
This paper presents a new model-free adaptive fractional order control approach for linear time-varying systems. An online algorithm is proposed to determine some frequency characteristics using a selective filtering and to design a fractional PID controller based on the numerical optimization of the frequency-domain criterion. When the system parameters are time-varying, the controller is updated to keep the same desired performances. The main advantage of the proposed approach is that the controller design depends only on the measured input and output signals of the process. The effectiveness of the proposed method is assessed through a numerical example. © 2017 ISA |
Atitallah, Halima; Aribi, Asma; Aoun, Mohamed Diagnosis of time-delay fractional systems Conférence 2017, (Cited by: 3). @conference{Atitallah2017284,
title = {Diagnosis of time-delay fractional systems},
author = {Halima Atitallah and Asma Aribi and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85024400530\&doi=10.1109%2fSTA.2016.7952042\&partnerID=40\&md5=7df0719cec19ecdfbff3cbb2ec3bfeda},
doi = {10.1109/STA.2016.7952042},
year = {2017},
date = {2017-01-01},
journal = {2016 17th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2016 - Proceedings},
pages = {284 \textendash 292},
abstract = {In this paper, a model-based diagnosis method, called Luenberger diagnosis observer, recently developed for fractional order systems, is extended for time-delay fractional systems. A sufficient convergence condition of the fault indicator using Bilinear Matrix Inequalities is detailed. A numerical example illustrating the method's validity in detecting faults is finally presented. © 2016 IEEE.},
note = {Cited by: 3},
keywords = {Automation, Bilinear matrix inequality, Convergence conditions, Convergence of numerical methods, Delay control systems, Diagnosis, Fault detection, Fault indicators, Fractional systems, Fractional-order systems, Luenberger observers, Model based diagnosis, Numerical methods, Process control, residual, Time delay},
pubstate = {published},
tppubtype = {conference}
}
In this paper, a model-based diagnosis method, called Luenberger diagnosis observer, recently developed for fractional order systems, is extended for time-delay fractional systems. A sufficient convergence condition of the fault indicator using Bilinear Matrix Inequalities is detailed. A numerical example illustrating the method’s validity in detecting faults is finally presented. © 2016 IEEE. |
2016
|
Lamouchi, R.; Raïssi, T.; Amairi, M.; Aoun, M. Fault tolerant control in a set-membership framework Conférence 2016, (Cited by: 3). @conference{Lamouchi20161099b,
title = {Fault tolerant control in a set-membership framework},
author = {R. Lamouchi and T. Ra\"{i}ssi and M. Amairi and M. Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015078241\&doi=10.1109%2fECC.2016.7810436\&partnerID=40\&md5=b05b24d41c3686fc879efa9f518522bd},
doi = {10.1109/ECC.2016.7810436},
year = {2016},
date = {2016-01-01},
journal = {2016 European Control Conference, ECC 2016},
pages = {1099 \textendash 1104},
abstract = {In this paper, a Passive Fault Tolerant Control (PFTC) strategy for Linear Time Invariant (LTI) systems subject to actuator faults is proposed. The idea of this PFTC method is to compute a control law to cope with additive actuator faults using interval observers. The considered system is assumed to be subject to bounded noises and disturbances without any additional assumptions. The FTC is implemented as a state linear feedback control and designed using interval observers techniques. A numerical example shows the efficiency of the proposed technique. © 2016 EUCA.},
note = {Cited by: 3},
keywords = {Actuator fault, Actuators, Bounded disturbances, Bounded noise, Control laws, Control methods, Control strategies, Fault tolerance, Faults tolerant controls, Interval observers, Linear control systems, Linear time-invariant system, Numerical methods, Set-membership, State feedback},
pubstate = {published},
tppubtype = {conference}
}
In this paper, a Passive Fault Tolerant Control (PFTC) strategy for Linear Time Invariant (LTI) systems subject to actuator faults is proposed. The idea of this PFTC method is to compute a control law to cope with additive actuator faults using interval observers. The considered system is assumed to be subject to bounded noises and disturbances without any additional assumptions. The FTC is implemented as a state linear feedback control and designed using interval observers techniques. A numerical example shows the efficiency of the proposed technique. © 2016 EUCA. |
Hamdi, Saif Eddine; Amairi, Messaoud; Aoun, Mohamed Orthotopic set-membership parameter estimation of fractional order model Conférence 2016, (Cited by: 7). @conference{Hamdi2016634b,
title = {Orthotopic set-membership parameter estimation of fractional order model},
author = {Saif Eddine Hamdi and Messaoud Amairi and Mohamed Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84986192298\&doi=10.1109%2fMED.2016.7535873\&partnerID=40\&md5=067a264b24cef790e92783d5e4cfc584},
doi = {10.1109/MED.2016.7535873},
year = {2016},
date = {2016-01-01},
journal = {24th Mediterranean Conference on Control and Automation, MED 2016},
pages = {634 \textendash 639},
abstract = {This paper presents a new orthotopic set-membership method for the identification of linear fractional orders systems. This method consists in recursively constructing an outer orthotope that contains all feasible parameters when the probability distribution of the disturbances is unknown but bounded and when the differentiation orders are known. A numerical example shows the effectiveness of the proposed method. © 2016 IEEE.},
note = {Cited by: 7},
keywords = {Fractional order, Fractional order models, Numerical methods, Orthotopic, Probability distributions, Set membership, Set membership method, Unknown but bounded},
pubstate = {published},
tppubtype = {conference}
}
This paper presents a new orthotopic set-membership method for the identification of linear fractional orders systems. This method consists in recursively constructing an outer orthotope that contains all feasible parameters when the probability distribution of the disturbances is unknown but bounded and when the differentiation orders are known. A numerical example shows the effectiveness of the proposed method. © 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. |
2015
|
Yakoub, Z.; Chetoui, M.; Amairi, M.; Aoun, M. A direct fractional order bias eliminated least squares method for the fractional closed-loop system identification Conférence 2015, (Cited by: 2). @conference{Yakoub2015e,
title = {A direct fractional order bias eliminated least squares method for the fractional closed-loop system identification},
author = {Z. Yakoub and M. Chetoui and M. Amairi and M. Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962688308\&doi=10.1109%2fSSD.2015.7348219\&partnerID=40\&md5=1523b25860bd1afff62b4ced5a164cdd},
doi = {10.1109/SSD.2015.7348219},
year = {2015},
date = {2015-01-01},
journal = {12th International Multi-Conference on Systems, Signals and Devices, SSD 2015},
abstract = {The paper deals with the continuous-time fractional closed-loop system identification in a noisy output context. Both coefficients and fractional orders of the process are estimated using the direct approach. The proposed method is based on the least squares technique and the state variable filter. It is an extension of the bias eliminated least squares method to the fractional systems. It is combined to a nonlinear optimization algorithm in order to estimate both coefficients and fractional orders of the fractional process. A numerical example is presented to illustrate the performances of the proposed methods. © 2015 IEEE.},
note = {Cited by: 2},
keywords = {Algorithms, Closed loop systems, Closed loops, Continuous time systems, Continuous-time, Direct approach, Fractional differentiation, Identification (control systems), Least Square, Least squares approximations, Nonlinear programming, Numerical methods, Optimization, Religious buildings, State-variable filters},
pubstate = {published},
tppubtype = {conference}
}
The paper deals with the continuous-time fractional closed-loop system identification in a noisy output context. Both coefficients and fractional orders of the process are estimated using the direct approach. The proposed method is based on the least squares technique and the state variable filter. It is an extension of the bias eliminated least squares method to the fractional systems. It is combined to a nonlinear optimization algorithm in order to estimate both coefficients and fractional orders of the fractional process. A numerical example is presented to illustrate the performances of the proposed methods. © 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{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. |
Saidi, B.; Amairi, M.; Najar, S.; Aoun, M. Bode shaping-based design methods of a fractional order PID controller for uncertain systems Article de journal Dans: Nonlinear Dynamics, vol. 80, no. 4, p. 1817 – 1838, 2015, (Cited by: 66). @article{Saidi20151817b,
title = {Bode shaping-based design methods of a fractional order PID controller for uncertain systems},
author = {B. Saidi and M. Amairi and S. Najar and M. Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84929012313\&doi=10.1007%2fs11071-014-1698-1\&partnerID=40\&md5=b1525ff210f26882e3ddf803673c50e2},
doi = {10.1007/s11071-014-1698-1},
year = {2015},
date = {2015-01-01},
journal = {Nonlinear Dynamics},
volume = {80},
number = {4},
pages = {1817 \textendash 1838},
abstract = {This paper deals with robust fractional order PID controller design via numerical optimization. Three new frequency-domain design methods are proposed. They achieve good robustness to the variation of some parameters by maintaining the open-loop phase quasi-constant in a pre-specified frequency band, i.e., maintaining the iso-damping property of the controlled system. The two first methods are extensions of the well-known Monje-Vinagre et al. method for uncertain systems. They ameliorate the numerical optimization algorithm by imposing the open-loop phase to be flat in a frequency band not only around a single frequency. The third method is an interval-based design approach that simplifies the algorithm by reducing the constraints number and offers a more large frequency band with an iso-damping property. Several numerical examples are presented to show the efficiency of each proposed method and discuss the obtained results. Also, an application to the liquid carbon monoxide level control is presented. © 2014, Springer Science+Business Media Dordrecht.},
note = {Cited by: 66},
keywords = {Algorithms, Carbon monoxide, Constrained optimization, Damping, Design, Electric control equipment, Fractional PID, Fractional-order PID controllers, Frequency bands, Frequency domain analysis, Frequency-domain design, Iso-damping property, Numerical methods, Numerical optimization algorithms, Numerical optimizations, Optimization, Proportional control systems, Robustness (control systems), Test benches, Three term control systems, Uncertain systems, Uncertainty},
pubstate = {published},
tppubtype = {article}
}
This paper deals with robust fractional order PID controller design via numerical optimization. Three new frequency-domain design methods are proposed. They achieve good robustness to the variation of some parameters by maintaining the open-loop phase quasi-constant in a pre-specified frequency band, i.e., maintaining the iso-damping property of the controlled system. The two first methods are extensions of the well-known Monje-Vinagre et al. method for uncertain systems. They ameliorate the numerical optimization algorithm by imposing the open-loop phase to be flat in a frequency band not only around a single frequency. The third method is an interval-based design approach that simplifies the algorithm by reducing the constraints number and offers a more large frequency band with an iso-damping property. Several numerical examples are presented to show the efficiency of each proposed method and discuss the obtained results. Also, an application to the liquid carbon monoxide level control is presented. © 2014, Springer Science+Business Media Dordrecht. |
Yakoub, Z.; Chetoui, M.; Amairi, M.; Aoun, M. A bias correction method for fractional closed-loop system identification Article de journal Dans: Journal of Process Control, vol. 33, p. 25 – 36, 2015, (Cited by: 21). @article{Yakoub201525b,
title = {A bias correction method for fractional closed-loop system identification},
author = {Z. Yakoub and M. Chetoui and M. Amairi and M. Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84935026123\&doi=10.1016%2fj.jprocont.2015.05.005\&partnerID=40\&md5=5611b28f7cb96778cb11b1057ae37bc4},
doi = {10.1016/j.jprocont.2015.05.005},
year = {2015},
date = {2015-01-01},
journal = {Journal of Process Control},
volume = {33},
pages = {25 \textendash 36},
abstract = {Abstract In this paper, the fractional closed-loop system identification using the indirect approach is presented. A bias correction method is developed to deal with the bias problem in the continuous-time fractional closed-loop system identification. This method is based on the least squares estimator combined with the state variable filter approach. The basic idea is to eliminate the estimation bias by adding a correction term in the least squares estimates. The proposed algorithm is extended, using a nonlinear optimization algorithm, to estimate both coefficients and commensurate-order of the process. Numerical example shows the performances of the fractional order bias eliminated least squares method via Monte Carlo simulations. © 2015 Elsevier Ltd.},
note = {Cited by: 21},
keywords = {Active filters, Algorithms, Bias-correction methods, Bias-eliminated least squares methods, Closed loop systems, Commensurate-order, Continuous time systems, Electromagnetic wave attenuation, Fractional differentiation, Identification (control systems), Intelligent systems, Least Square, Least squares approximations, Least-squares estimator, Monte Carlo methods, Non-linear optimization algorithms, Nonlinear programming, Numerical methods, Optimization, Religious buildings, State-variable filters},
pubstate = {published},
tppubtype = {article}
}
Abstract In this paper, the fractional closed-loop system identification using the indirect approach is presented. A bias correction method is developed to deal with the bias problem in the continuous-time fractional closed-loop system identification. This method is based on the least squares estimator combined with the state variable filter approach. The basic idea is to eliminate the estimation bias by adding a correction term in the least squares estimates. The proposed algorithm is extended, using a nonlinear optimization algorithm, to estimate both coefficients and commensurate-order of the process. Numerical example shows the performances of the fractional order bias eliminated least squares method via Monte Carlo simulations. © 2015 Elsevier Ltd. |
Saidi, B.; Amairi, M.; Najar, S.; Aoun, M. Multi-objective optimization based design of fractional PID controller Conférence 2015, (Cited by: 9). @conference{Saidi2015d,
title = {Multi-objective optimization based design of fractional PID controller},
author = {B. Saidi and M. Amairi and S. Najar and M. Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962648248\&doi=10.1109%2fSSD.2015.7348218\&partnerID=40\&md5=a86d88b6943f4a7edb2dc5a9245f5cdf},
doi = {10.1109/SSD.2015.7348218},
year = {2015},
date = {2015-01-01},
journal = {12th International Multi-Conference on Systems, Signals and Devices, SSD 2015},
abstract = {This paper deals with robust fractional order PID controller design via numerical multi-objective optimization. The proposed interval-based design scheme uses frequency-domain specifications to ensure a desired closed-loop behavior. By maintaining the desired phase margin quasi-constant in a pre-specified frequency band, it guarantees more robustness to gain uncertainties. This leads to a closed-loop system with an interesting iso-damping property in a more large frequency band than other design methods. A numerical example is presented to show the efficiency of the proposed method and to discuss about the obtained results. © 2015 IEEE.},
note = {Cited by: 9},
keywords = {Closed loop systems, Closed-loop behavior, Design, Electric control equipment, Fractional PID, Fractional pid controllers, Fractional-order PID controllers, Frequency bands, Frequency domain analysis, Frequency domains, Frequency specifications, Iso-damping property, Multiobjective optimization, Numerical methods, Phase margins, Proportional control systems, Robustness (control systems), Specifications, Three term control systems},
pubstate = {published},
tppubtype = {conference}
}
This paper deals with robust fractional order PID controller design via numerical multi-objective optimization. The proposed interval-based design scheme uses frequency-domain specifications to ensure a desired closed-loop behavior. By maintaining the desired phase margin quasi-constant in a pre-specified frequency band, it guarantees more robustness to gain uncertainties. This leads to a closed-loop system with an interesting iso-damping property in a more large frequency band than other design methods. A numerical example is presented to show the efficiency of the proposed method and to discuss about the obtained results. © 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
|
Yakoub, Z.; Amairi, M.; Chetoui, M.; Aoun, M. A bias-eliminated least squares method for continuous-time fractional closed-loop system identification Conférence 2014, (Cited by: 5). @conference{Yakoub2014128b,
title = {A bias-eliminated least squares method for continuous-time fractional closed-loop system identification},
author = {Z. Yakoub and M. Amairi and M. Chetoui and M. Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84920520477\&doi=10.1109%2fCCA.2014.6981340\&partnerID=40\&md5=1e18e1e8dcd7b25d35f5589188cfe8a6},
doi = {10.1109/CCA.2014.6981340},
year = {2014},
date = {2014-01-01},
journal = {2014 IEEE Conference on Control Applications, CCA. Part of 2014 IEEE Multi-conference on Systems and Control, MSC 2014},
pages = {128 \textendash 133},
abstract = {This paper deals with continuous-time fractional closed-loop system identification in a noisy output context. A bias correction method called the bias-eliminated least squares is extended for indirect approach identification of closed-loop system with fractional models. This method is based on the least squares method combined with the state variable filter and assumes that the regulator order can not be lower than the process order. The performances of the proposed method are assessed through a numerical example. © 2014 IEEE.},
note = {Cited by: 5},
keywords = {Closed loop systems, Closed loops, Continuous time systems, Continuous-time, Fractional differentiation, Identification (control systems), Least Square, Least squares approximations, Numerical methods, Religious buildings, State-variable filters},
pubstate = {published},
tppubtype = {conference}
}
This paper deals with continuous-time fractional closed-loop system identification in a noisy output context. A bias correction method called the bias-eliminated least squares is extended for indirect approach identification of closed-loop system with fractional models. This method is based on the least squares method combined with the state variable filter and assumes that the regulator order can not be lower than the process order. The performances of the proposed method are assessed through a numerical example. © 2014 IEEE. |
Yousfi, B.; Raissi, T.; Amairi, M.; Aoun, M. Interval observers design for singularly perturbed systems Conférence vol. 2015-February, no. February, 2014, (Cited by: 4). @conference{Yousfi20141637b,
title = {Interval observers design for singularly perturbed systems},
author = {B. Yousfi and T. Raissi and M. Amairi and M. Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84988301835\&doi=10.1109%2fCDC.2014.7039634\&partnerID=40\&md5=ed45432caf804ba4d04cf845651be622},
doi = {10.1109/CDC.2014.7039634},
year = {2014},
date = {2014-01-01},
journal = {Proceedings of the IEEE Conference on Decision and Control},
volume = {2015-February},
number = {February},
pages = {1637 \textendash 1642},
abstract = {This paper deals with interval observers design for two-time singularly perturbed systems. The full-order system is firstly decoupled into slow and fast subsystems. Then, using the cooperativity theory, an interval observer is designed for the slow subsystem assuming that the singular perturbed parameter is uncertain. This decoupling leads to two observers that estimate the lower and upper bounds for state values. A numerical example shows the efficiency of the proposed technique. © 2014 IEEE.},
note = {Cited by: 4},
keywords = {Convergence of numerical methods, Cooperativity, Full order system, Interval observers, Lower and upper bounds, Numerical methods, Perturbation techniques, Singularly perturbed systems, Slow subsystem, State values, Uncertainty analysis},
pubstate = {published},
tppubtype = {conference}
}
This paper deals with interval observers design for two-time singularly perturbed systems. The full-order system is firstly decoupled into slow and fast subsystems. Then, using the cooperativity theory, an interval observer is designed for the slow subsystem assuming that the singular perturbed parameter is uncertain. This decoupling leads to two observers that estimate the lower and upper bounds for state values. A numerical example shows the efficiency of the proposed technique. © 2014 IEEE. |
Hmed, A. Ben; Amairi, M.; Aoun, M. Fractional order controller design using time-domain specifications Conférence 2014, (Cited by: 1). @conference{BenHmed2014462b,
title = {Fractional order controller design using time-domain specifications},
author = {A. Ben Hmed and M. Amairi and M. Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84983113529\&doi=10.1109%2fSTA.2014.7086744\&partnerID=40\&md5=9a013474680a6de39951b74183cb77ce},
doi = {10.1109/STA.2014.7086744},
year = {2014},
date = {2014-01-01},
journal = {STA 2014 - 15th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering},
pages = {462 \textendash 467},
abstract = {This paper deals with the design of a fractional controller to achieve a desired closed loop system. Based on the resonance and time-domain studies of the desired closed-loop behavior, the controller design is carried out by a pole-compensator method. Numerical examples are proposed to show the efficiency of the proposed technique. © 2014 IEEE.},
note = {Cited by: 1},
keywords = {Automation, Closed loop systems, Closed-loop behavior, Control design, Controller designs, Controllers, Convergence of numerical methods, Design, Fractional controllers, Fractional systems, Fractional-order controllers, Numerical methods, Resonance, Time domain, Time domain analysis, Time-domain specifications},
pubstate = {published},
tppubtype = {conference}
}
This paper deals with the design of a fractional controller to achieve a desired closed loop system. Based on the resonance and time-domain studies of the desired closed-loop behavior, the controller design is carried out by a pole-compensator method. Numerical examples are proposed to show the efficiency of the proposed technique. © 2014 IEEE. |
Saidi, B.; Amairi, M.; Najar, S.; Aoun, M. Min-Max optimization-based design of fractional PID controller Conférence 2014, (Cited by: 3). @conference{Saidi2014468b,
title = {Min-Max optimization-based design of fractional PID controller},
author = {B. Saidi and M. Amairi and S. Najar and M. Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84983109471\&doi=10.1109%2fSTA.2014.7086745\&partnerID=40\&md5=6eeb92ac9f210d24ef95f1d1e273f5f4},
doi = {10.1109/STA.2014.7086745},
year = {2014},
date = {2014-01-01},
journal = {STA 2014 - 15th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering},
pages = {468 \textendash 473},
abstract = {This paper deals with a new design method of a fractional PID controller. The proposed method is based on a numerical constrained Min-Max optimization algorithm. Its main objective is the improvement of the transient response, the stability margin, the robustness and the load disturbance rejection capability. All these performances are tested through a simulation example. © 2014 IEEE.},
note = {Cited by: 3},
keywords = {Algorithms, Automation, Calculations, Constrained optimization, Convergence of numerical methods, Design method, Disturbance rejection, Electric control equipment, Fractional calculus, Fractional pid controllers, Load disturbance rejection capabilities, Min-max optimization, Numerical methods, Optimization, Proportional control systems, Robustness (control systems), Simulation example, Stability margins, Three term control systems},
pubstate = {published},
tppubtype = {conference}
}
This paper deals with a new design method of a fractional PID controller. The proposed method is based on a numerical constrained Min-Max optimization algorithm. Its main objective is the improvement of the transient response, the stability margin, the robustness and the load disturbance rejection capability. All these performances are tested through a simulation example. © 2014 IEEE. |
Saidi, B.; Amairi, M.; Najar, S.; Aoun, M. Fractional PI design for time delay systems based on min-max optimization Conférence 2014, (Cited by: 7). @conference{Saidi2014d,
title = {Fractional PI design for time delay systems based on min-max optimization},
author = {B. Saidi and M. Amairi and S. Najar and M. Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84918493100\&doi=10.1109%2fICFDA.2014.6967440\&partnerID=40\&md5=0ff2543768ac0713978d10873e94b207},
doi = {10.1109/ICFDA.2014.6967440},
year = {2014},
date = {2014-01-01},
journal = {2014 International Conference on Fractional Differentiation and Its Applications, ICFDA 2014},
abstract = {This paper presents a new design method of a fractional order PI (FO-PI) for time delay systems based on the min-max numerical optimization. The proposed method uses a constrained optimization algorithm to determine the unknown parameters of the controller and has an objective to improve the transient response, stability margin, stability robustness and load disturbance rejection. A simulation example is presented to show the effectiveness of the proposed design method for a First Order Plus Dead Time system (FOPDT). © 2014 IEEE.},
note = {Cited by: 7},
keywords = {Calculations, Constrained optimization, Delay control systems, Design, Differentiation (calculus), Disturbance rejection, First order plus dead time, Fractional calculus, Frequency specifications, Load disturbance rejection, Min-max optimization, Multiobjective optimization, Numerical methods, Numerical optimizations, Robust controllers, System stability, Time delay, Time-delay systems, Timing circuits, Transient analysis},
pubstate = {published},
tppubtype = {conference}
}
This paper presents a new design method of a fractional order PI (FO-PI) for time delay systems based on the min-max numerical optimization. The proposed method uses a constrained optimization algorithm to determine the unknown parameters of the controller and has an objective to improve the transient response, stability margin, stability robustness and load disturbance rejection. A simulation example is presented to show the effectiveness of the proposed design method for a First Order Plus Dead Time system (FOPDT). © 2014 IEEE. |
Hmed, A. Ben; Amairi, M.; Aoun, M. Fractional order controller design using time-domain specifications Conférence 2014, (Cited by: 1). @conference{BenHmed2014462c,
title = {Fractional order controller design using time-domain specifications},
author = {A. Ben Hmed and M. Amairi and M. Aoun},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84983113529\&doi=10.1109%2fSTA.2014.7086744\&partnerID=40\&md5=9a013474680a6de39951b74183cb77ce},
doi = {10.1109/STA.2014.7086744},
year = {2014},
date = {2014-01-01},
journal = {STA 2014 - 15th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering},
pages = {462 \textendash 467},
abstract = {This paper deals with the design of a fractional controller to achieve a desired closed loop system. Based on the resonance and time-domain studies of the desired closed-loop behavior, the controller design is carried out by a pole-compensator method. Numerical examples are proposed to show the efficiency of the proposed technique. © 2014 IEEE.},
note = {Cited by: 1},
keywords = {Automation, Closed loop systems, Closed-loop behavior, Control design, Controller designs, Controllers, Convergence of numerical methods, Design, Fractional controllers, Fractional systems, Fractional-order controllers, Numerical methods, Resonance, Time domain, Time domain analysis, Time-domain specifications},
pubstate = {published},
tppubtype = {conference}
}
This paper deals with the design of a fractional controller to achieve a desired closed loop system. Based on the resonance and time-domain studies of the desired closed-loop behavior, the controller design is carried out by a pole-compensator method. Numerical examples are proposed to show the efficiency of the proposed technique. © 2014 IEEE. |
2011
|
Chetoui, M.; Malti, R.; Thomassin, M.; Aoun, M.; Najar, S.; Abdelkrim, M. N. Third-order cumulants based method for continuous-time Errors-In-Variables system identification by fractional models Conférence 2011, (Cited by: 3). @conference{Chetoui2011b,
title = {Third-order cumulants based method for continuous-time Errors-In-Variables system identification by fractional models},
author = {M. Chetoui and R. Malti and M. Thomassin and M. Aoun and S. Najar and M. N. Abdelkrim},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-79957885868\&doi=10.1109%2fSSD.2011.5767441\&partnerID=40\&md5=4b772c437279fdf033e958405ca83efc},
doi = {10.1109/SSD.2011.5767441},
year = {2011},
date = {2011-01-01},
journal = {International Multi-Conference on Systems, Signals and Devices, SSD'11 - Summary Proceedings},
abstract = {This paper deals with continuous-time system identification using fractional models in a noisy input/output context. The third-order cumulants based least squares method (tocls) is extended here to fractional models. The derivatives of the third-order cumulants are computed using a new fractional state variable filter. A numerical example is used to demonstrate the performance of the proposed method called ftocls (fractional third-order cumulants based least squares). The effect of the signal-to-noise ratio and the hyperparameter is studied. © 2011 IEEE.},
note = {Cited by: 3},
keywords = {Continuous time systems, Cumulants, Errors in variables, Fractional derivatives, Fractional SVF, High order statistics, Identification (control systems), Indium compounds, Least squares approximations, Numerical methods, Religious buildings, Signal to noise ratio},
pubstate = {published},
tppubtype = {conference}
}
This paper deals with continuous-time system identification using fractional models in a noisy input/output context. The third-order cumulants based least squares method (tocls) is extended here to fractional models. The derivatives of the third-order cumulants are computed using a new fractional state variable filter. A numerical example is used to demonstrate the performance of the proposed method called ftocls (fractional third-order cumulants based least squares). The effect of the signal-to-noise ratio and the hyperparameter is studied. © 2011 IEEE. |
Aoun, M.; Amairi, M.; Lassoued, Z.; Najar, S.; Abdelkrim, M. N. An ellipsoidal set-membership parameter estimation of fractional orders systems Conférence 2011, (Cited by: 4). @conference{Aoun2011e,
title = {An ellipsoidal set-membership parameter estimation of fractional orders systems},
author = {M. Aoun and M. Amairi and Z. Lassoued and S. Najar and M. N. Abdelkrim},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-79957881899\&doi=10.1109%2fSSD.2011.5767416\&partnerID=40\&md5=f4a561276b178fc18bfc9dea1dc69866},
doi = {10.1109/SSD.2011.5767416},
year = {2011},
date = {2011-01-01},
journal = {International Multi-Conference on Systems, Signals and Devices, SSD'11 - Summary Proceedings},
abstract = {This paper presents a new ellipsoidal set-membership method for the identification of linear fractional orders systems. It use the Optimal Bounding Ellipsoid (OBE) algorithm. When the probability distribution of the disturbances is unknown but bounded and when the differentiation orders are known, the proposed method can estimate all the feasible parameters. A numerical example shows the effectiveness of the proposed method. © 2011 IEEE.},
note = {Cited by: 4},
keywords = {Algorithms, Fogel-Huang algorithm, Fractional differentiation, Fractional systems, Identification (control systems), Numerical methods, OBE, Parameter estimation, Probability distributions, Set-membership, system identification},
pubstate = {published},
tppubtype = {conference}
}
This paper presents a new ellipsoidal set-membership method for the identification of linear fractional orders systems. It use the Optimal Bounding Ellipsoid (OBE) algorithm. When the probability distribution of the disturbances is unknown but bounded and when the differentiation orders are known, the proposed method can estimate all the feasible parameters. A numerical example shows the effectiveness of the proposed method. © 2011 IEEE. |
Chetoui, M.; Malti, R.; Thomassin, M.; Aoun, M.; Najar, S.; Abdelkrim, M. N. Third-order cumulants based method for continuous-time Errors-In-Variables system identification by fractional models Conférence 2011, (Cited by: 3). @conference{Chetoui2011,
title = {Third-order cumulants based method for continuous-time Errors-In-Variables system identification by fractional models},
author = {M. Chetoui and R. Malti and M. Thomassin and M. Aoun and S. Najar and M. N. Abdelkrim},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-79957885868\&doi=10.1109%2fSSD.2011.5767441\&partnerID=40\&md5=4b772c437279fdf033e958405ca83efc},
doi = {10.1109/SSD.2011.5767441},
year = {2011},
date = {2011-01-01},
journal = {International Multi-Conference on Systems, Signals and Devices, SSD'11 - Summary Proceedings},
abstract = {This paper deals with continuous-time system identification using fractional models in a noisy input/output context. The third-order cumulants based least squares method (tocls) is extended here to fractional models. The derivatives of the third-order cumulants are computed using a new fractional state variable filter. A numerical example is used to demonstrate the performance of the proposed method called ftocls (fractional third-order cumulants based least squares). The effect of the signal-to-noise ratio and the hyperparameter is studied. © 2011 IEEE.},
note = {Cited by: 3},
keywords = {Continuous time systems, Cumulants, Errors in variables, Fractional derivatives, Fractional SVF, High order statistics, Identification (control systems), Indium compounds, Least squares approximations, Numerical methods, Religious buildings, Signal to noise ratio},
pubstate = {published},
tppubtype = {conference}
}
This paper deals with continuous-time system identification using fractional models in a noisy input/output context. The third-order cumulants based least squares method (tocls) is extended here to fractional models. The derivatives of the third-order cumulants are computed using a new fractional state variable filter. A numerical example is used to demonstrate the performance of the proposed method called ftocls (fractional third-order cumulants based least squares). The effect of the signal-to-noise ratio and the hyperparameter is studied. © 2011 IEEE. |
