Publications

@conference{Ethabet2023b,

title = {L∞ Set-membership Estimation for Continuous-time Switched Linear Systems},

author = {Haifa Ethabet and Leila Dadi and Tarek Raissi and Mohamed Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182931405\&doi=10.1109%2fIW_MSS59200.2023.10369668\&partnerID=40\&md5=2fb780affae1b8628f3f526c9cabfef7},

doi = {10.1109/IW_MSS59200.2023.10369668},

year  = {2023},

date = {2023-01-01},

journal = {2023 IEEE International Workshop on Mechatronics Systems Supervision, IW_MSS 2023},

abstract = {In this work, we focuses on the problem of designing an interval state estimation for continuous-time Switched Linear Systems (SLS) in the Unknown But Bounded Error (UBBE) context. To do so, we design a new structure of interval observers by introducing weighted matrices not only to give more degrees of design freedom but also to attenuate the conservatism caused by uncertainties. Observer gains are derived from the solution of Linear Matrix Inequalities (LMIs), based on the use of a common Lyapunov function, to ensure cooperativity and stability. An L∞ technique is then introduced to compensate the measurement noise and disturbances' effects and to enhance the precision of interval estimation. Finally, numerical simulations are given, evaluating the proposed methodology and demonstrating its effectiveness. © 2023 IEEE.},

keywords = {Bounded error context, Continous time, Continuous time systems, Continuous-time switched system, Interval observers, Linear matrix inequalities, Linear systems, Lyapunov functions, L∞ technique, matrix, Set-membership estimation, State estimation, Switched linear system, Switched system, Unknown but bounded},

pubstate = {published},

tppubtype = {conference}

}

@conference{Lamouchi2022178b,

title = {Interval Observers Fault Detection for Linear Parameter Varying Systems with H- Fault Sensitivity},

author = {Rihab Lamouchi and Tarek Raissi and Messaoud Amairi and Mohamed Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143817218\&doi=10.1109%2fSSD54932.2022.9955878\&partnerID=40\&md5=861234ea09d7f66ce9fcabebfd66668e},

doi = {10.1109/SSD54932.2022.9955878},

year  = {2022},

date = {2022-01-01},

journal = {2022 19th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2022},

pages = {178 \textendash 183},

abstract = {A fault detection (FD) method for a class of discrete-time Linear Parameter Varying (LPV) systems with sensor faults and measurement noise is proposed in this paper. Then, an interval FD observer is studied using Linfty performance to minimise the uncertainties effects and to improve the estimation accuracy. Furthermore, mathcalH- performance is considered in order to calculate the sensitivity of the residual to sensor faults and a FD decision is set to indicate their presence. The validity of the proposed methodology is demonstrated using a numerical example. © 2022 IEEE.},

note = {Cited by: 1},

keywords = {Detection methods, Fault detection, Fault sensitivity, Faults detection, Finite difference method, H- fault sensitivity, Interval observers, Linear parameter varying systems, Linear systems, L∞ performance, Sensor fault detection, Sensors faults, ∞performance},

pubstate = {published},

tppubtype = {conference}

}

@conference{Dadi2022190,

title = {Set-Membership Fault Detection for Discrete-time Switched Linear Systems},

author = {Leila Dadi and Haifa Ethabet and Mohamed Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143822450\&doi=10.1109%2fSSD54932.2022.9955834\&partnerID=40\&md5=845297a35126246541ad5d43c4f68b5e},

doi = {10.1109/SSD54932.2022.9955834},

year  = {2022},

date = {2022-01-01},

journal = {2022 19th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2022},

pages = {190 \textendash 194},

abstract = {This work deals with Fault Detection (FD) for a class of discrete-time switched linear systems with actuator faults subject to bounded disturbances. First, based on cooperativity and stability conditions and under the assumption that disturbances and measurement noise are unknown but bounded, upper and lower bounds of the state are calculated using an interval observer. The design conditions of the observer are expressed in terms of Linear Matrix Inequalities (LMIs). Second, a fault detection decision is developed to indicate the presence of faults using interval analysis. Simulation results are provided to illustrate the performance of the proposed fault detection approach. © 2022 IEEE.},

note = {Cited by: 0},

keywords = {Actuator fault, Actuators, Bounded disturbances, Cooperativity, Discrete time, Fault detection, Faults detection, Interval observers, Linear matrix inequalities, Linear systems, Set-membership, Stability condition, Switched linear system, Switched system},

pubstate = {published},

tppubtype = {conference}

}

@conference{Dadi202273,

title = {New Finite-Time Observers design for a Discrete-Time Switched Linear System},

author = {L. Dadi and T. N. Dinh and T. Ra\"{i}ssi and H. Ethabet and M. Aoun},

editor = {Loiseau J. J. Zattoni E. Perdon A.M.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159376419\&doi=10.1016%2fj.ifacol.2023.01.051\&partnerID=40\&md5=949c6c46f6060c2b436e93abc952c158},

doi = {10.1016/j.ifacol.2023.01.051},

issn = {24058963},

year  = {2022},

date = {2022-01-01},

journal = {IFAC-PapersOnLine},

volume = {55},

number = {40},

pages = {73-78},

publisher = {Elsevier B.V.},

abstract = {In this work, we consider a discrete-time switched linear system. A novel approach is introduced to estimate its state in a finite fixed time which can be arbitrarily chosen and is independent of the initial state. For cases where the additive disturbance and measurement noise are known, we provide an exact estimation. Otherwise, a finite-time interval observer is designed. The crucial idea is based on using past values of the input and output of the studied system and a minimal dwell time condition. Simulation results are provided to illustrate the effectiveness of the proposed techniques in different scenarios of finite time choices. Copyright © 2022 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/)},

note = {cited By 0},

keywords = {Additive disturbance; Approximate estimation; Discrete time; Exact estimation; Finite-time observers; Fixed time; Initial state; Measurement Noise; Observers designs; Switched linear system, Linear systems},

pubstate = {published},

tppubtype = {conference}

}

@conference{Dadi202273b,

title = {New Finite-Time Observers design for a Discrete-Time Switched Linear System},

author = {Leila Dadi and Thach Ngoc Dinh and Tarek Ra\"{i}ssi and Haifa Ethabet and Mohamed Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159376419\&doi=10.1016%2fj.ifacol.2023.01.051\&partnerID=40\&md5=949c6c46f6060c2b436e93abc952c158},

doi = {10.1016/j.ifacol.2023.01.051},

year  = {2022},

date = {2022-01-01},

journal = {IFAC-PapersOnLine},

volume = {55},

number = {40},

pages = {73 \textendash 78},

abstract = {In this work, we consider a discrete-time switched linear system. A novel approach is introduced to estimate its state in a finite fixed time which can be arbitrarily chosen and is independent of the initial state. For cases where the additive disturbance and measurement noise are known, we provide an exact estimation. Otherwise, a finite-time interval observer is designed. The crucial idea is based on using past values of the input and output of the studied system and a minimal dwell time condition. Simulation results are provided to illustrate the effectiveness of the proposed techniques in different scenarios of finite time choices. Copyright © 2022 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/)},

note = {Cited by: 0; All Open Access, Bronze Open Access, Green Open Access},

keywords = {Additive disturbance, Approximate estimation, Discrete time, Exact estimation, Finite-time observers, Fixed time, Initial state, Linear systems, Measurement Noise, Observers designs, Switched linear system},

pubstate = {published},

tppubtype = {conference}

}

@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}

}

@conference{Dadi2022190b,

title = {Set-Membership Fault Detection for Discrete-time Switched Linear Systems},

author = {Leila Dadi and Haifa Ethabet and Mohamed Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143822450\&doi=10.1109%2fSSD54932.2022.9955834\&partnerID=40\&md5=845297a35126246541ad5d43c4f68b5e},

doi = {10.1109/SSD54932.2022.9955834},

year  = {2022},

date = {2022-01-01},

journal = {2022 19th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2022},

pages = {190 \textendash 194},

abstract = {This work deals with Fault Detection (FD) for a class of discrete-time switched linear systems with actuator faults subject to bounded disturbances. First, based on cooperativity and stability conditions and under the assumption that disturbances and measurement noise are unknown but bounded, upper and lower bounds of the state are calculated using an interval observer. The design conditions of the observer are expressed in terms of Linear Matrix Inequalities (LMIs). Second, a fault detection decision is developed to indicate the presence of faults using interval analysis. Simulation results are provided to illustrate the performance of the proposed fault detection approach. © 2022 IEEE.},

note = {Cited by: 0},

keywords = {Actuator fault, Actuators, Bounded disturbances, Cooperativity, Discrete time, Fault detection, Faults detection, Interval observers, Linear matrix inequalities, Linear systems, Set-membership, Stability condition, Switched linear system, Switched system},

pubstate = {published},

tppubtype = {conference}

}

@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}

}

@conference{Dkhil2019108,

title = {Set-membership state estimation approach for discrete-Time switched linear systems based on ellipsoidal approximation},

author = {M. Dkhil and M. Amairi and T. Raissi},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089563940\&doi=10.1109%2fSCC47175.2019.9116176\&partnerID=40\&md5=6384aef4f1fdb95f9a739cfd64b2f28a},

doi = {10.1109/SCC47175.2019.9116176},

isbn = {9781728135960},

year  = {2019},

date = {2019-01-01},

journal = {2019 International Conference on Signal, Control and Communication, SCC 2019},

pages = {108-113},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {This paper presents a new methodology to design a set-membership observer for switched linear system with unknown but bounded process and measurement noises based on the ellipsoidal approach. The proposed scaling technique is reduced in two steps: The time update step and the observation update step in order to derive an upper and lower bounds which frame the system state. The size of the obtained ellipsoids can be minimized by either the trace criterion or the determinant criterion. The proposed approach is illustrated by numerical examples in order to highlight its effectiveness. © 2019 IEEE.},

note = {cited By 1},

keywords = {Ellipsoidal approximations; Measurement Noise; Set membership; Set-membership state estimation; Switched linear system; Trace criterion; Unknown but bounded; Upper and lower bounds, Linear systems, State estimation},

pubstate = {published},

tppubtype = {conference}

}

@conference{Ethabet2019406b,

title = {Set-Membership Fault Detection for Continuous-time Switched Linear Systems},

author = {Haifa Ethabet and Tarek Ra\"{i}ssi and Messaoud Amairi and Mohamed Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074402785\&doi=10.1109%2fASET.2019.8870992\&partnerID=40\&md5=d92dcb337b52e6a06fd5caf02b00c0c0},

doi = {10.1109/ASET.2019.8870992},

year  = {2019},

date = {2019-01-01},

journal = {Proceedings of International Conference on Advanced Systems and Emergent Technologies, IC_ASET 2019},

pages = {406 \textendash 411},

abstract = {The problem of Fault Detection (FD) for continuous-time switched linear systems subject to bounded disturbances is investigated in this paper. Based on cooperativity and stability properties, and fulfillment of an Average Dwell Time (ADT) constraint, guaranteed upper and lower bounds of the state are calculated using an interval observer. Under the assumption that disturbances and measurement noise are unknown but bounded with a priori known bounds, stability criteria is expressed in terms of Linear Matrix Inequalities (LMIs). Then, a fault detection methodology is developed to indicate the presence of faults. Finally, we demonstrate the proposed fault detection approach via an illustrative example. © 2019 IEEE.},

note = {Cited by: 7},

keywords = {Bounded disturbances, Continuous time systems, Continuous-time, Fault detection, Linear matrix inequalities, Linear systems, Set membership, Stability criteria, Stability properties, Switched linear system, Switched system, Unknown but bounded, Upper and lower bounds},

pubstate = {published},

tppubtype = {conference}

}

@conference{Chetoui201990b,

title = {Instrumental variables based methods for linear systems identification with fractional models in the EIV context},

author = {Manel Chetoui and Mohamed Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075640184\&doi=10.1109%2fSSD.2019.8893265\&partnerID=40\&md5=2f59e71847ca98f45a7d71b9b46a627d},

doi = {10.1109/SSD.2019.8893265},

year  = {2019},

date = {2019-01-01},

journal = {16th International Multi-Conference on Systems, Signals and Devices, SSD 2019},

pages = {90 \textendash 95},

abstract = {In this paper a new instrumental variables methods based on the Higher-Order-Statistics (fourth order cumulants) are developed for continuous-time system identification with fractional models in the errors in variables context. The fractional orders are supposed known a priori and only the linear coefficients are estimated. The developed algorithms are compared to a fractional fourth order cumulants based least squares algorithm. Their performances are tested through a numerical example in two cases: white and colored noises affecting the input and the output measurements. © 2019 IEEE.},

note = {Cited by: 5},

keywords = {Continuous time systems, Continuous-time, Fourth-order cumulants, Fractional differentiation, Higher order statistics, Image segmentation, Instrumental variables, Least Square, Linear systems, State-variable filters},

pubstate = {published},

tppubtype = {conference}

}

@conference{Lamouchi20181199b,

title = {Interval Observer Design for Actuator Fault Estimation of Linear Parameter-Varying Systems},

author = {Rihab Lamouchi and Tarek Ra\"{i}ssi and Messaoud Amairi and Mohamed Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85054559690\&doi=10.1016%2fj.ifacol.2018.09.699\&partnerID=40\&md5=de423414de6ba51a4812a058275b7b0a},

doi = {10.1016/j.ifacol.2018.09.699},

year  = {2018},

date = {2018-01-01},

volume = {51},

number = {24},

pages = {1199 \textendash 1204},

abstract = {This work is devoted to fault estimation of discrete-time Linear Parameter-Varying (LPV) systems subject to actuator additive faults and external disturbances. Under the assumption that the measurement noises and the disturbances are unknown but bounded, an interval observer is designed, based on decoupling the fault effect, to compute a lower and upper bounds for the unmeasured state and the faults. Stability conditions are expressed in terms of matrices inequalities. A case study is used to illustrate the effectiveness of the proposed approach. © 2018},

note = {Cited by: 5; All Open Access, Bronze Open Access, Green Open Access},

keywords = {Actuators, Discrete time linear parameter varying (LPV) system, External disturbances, Fault estimation, Interval observers, Linear parameter varying systems, Linear systems, Lower and upper bounds, LPV systems, Parameter estimation, Unknown input observer},

pubstate = {published},

tppubtype = {conference}

}

@conference{Lamouchi20174033b,

title = {Actuator Fault Compensation in a Set-membership Framework for Linear Parameter-Varying Systems},

author = {Rihab Lamouchi and Messaoud Amairi and Tarek Ra\"{i}ssi and Mohamed Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85031808952\&doi=10.1016%2fj.ifacol.2017.08.721\&partnerID=40\&md5=4dd785827818b10f42471334f4257294},

doi = {10.1016/j.ifacol.2017.08.721},

year  = {2017},

date = {2017-01-01},

journal = {IFAC-PapersOnLine},

volume = {50},

number = {1},

pages = {4033 \textendash 4038},

abstract = {This paper presents an actuator fault compensation approach for a class of Linear Parameter-Varying (LPV) systems with noisy measurements. The proposed method is based on interval estimation assuming that the fault vector and the external disturbances are unknown but bounded. The main idea consists in designing a control law, based on a linear state feedback, to guarantee closed-loop stability. An additive control, based on fault bounds, is used to compensate the impact of actuator faults on system performances. The closed-loop stability of the robust fault compensation scheme is established in the Lyapunov sense. Finally, the theoretical results are illustrated using a numerical example. © 2017},

note = {Cited by: 11; All Open Access, Bronze Open Access, Green Open Access},

keywords = {Actuator fault, Actuators, Closed loop stability, Convergence of numerical methods, External disturbances, Interval estimation, Interval observers, Linear parameter varying systems, Linear state feedback, Linear systems, State feedback, Unknown but bounded},

pubstate = {published},

tppubtype = {conference}

}

@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}

}

@conference{Houiji2016229b,

title = {Fault detection performances analysis for stochastic systems based on adaptive threshold},

author = {Marwa Houiji and Rim Hamdaoui and Mohamed Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84974575297\&doi=10.1109%2fSSD.2016.7473701\&partnerID=40\&md5=0f9cdd28ba3852316e53997164690401},

doi = {10.1109/SSD.2016.7473701},

year  = {2016},

date = {2016-01-01},

journal = {13th International Multi-Conference on Systems, Signals and Devices, SSD 2016},

pages = {229 \textendash 234},

abstract = {This paper investigates the problem of fault detection for discrete linear systems subjected to unknown disturbances, actuator and sensor faults. A bank of Augmented Robust Three stage Kalman filters is adapted to estimate both the state and the fault as well as to generate the residuals. Besides, this paper presents the evaluation of the residuals with Bayes test of binary hypothesis test for fault detection to adaptive threshold compared with fixed threshold. This test allow the detection of low magnitude faults as fast as possible with a minimum risk of errors, the increase of detection probability and the reduction of false alarm probability. © 2016 IEEE.},

note = {Cited by: 2},

keywords = {Actuator and sensor faults, Adaptive thresholds, Binary hypothesis tests, Detection delays, Detection performance, Detection probabilities, Discrete linear systems, False alarm probability, Fault detection, Linear systems, Signal detection, Stochastic systems},

pubstate = {published},

tppubtype = {conference}

}

@conference{Salem2016640b,

title = {Instrumental variable based methods for continuous-time linear parameter varying system identification with fractional models},

author = {Thouraya Salem and Manel Chetoui and Mohamed Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84986183506\&doi=10.1109%2fMED.2016.7536043\&partnerID=40\&md5=42b2e04961aef2ea329989e32a842690},

doi = {10.1109/MED.2016.7536043},

year  = {2016},

date = {2016-01-01},

journal = {24th Mediterranean Conference on Control and Automation, MED 2016},

pages = {640 \textendash 645},

abstract = {This paper deals with continuous-time linear parameter varying (LPV) system identification with fractional models. Two variants of instrumental variables based techniques are proposed to estimate continuous-time parameters of a fractional differential equation linear parameter varying model when all fractional orders are assumed known a priori: the first one is the instrumental variables estimator based in an auxiliary model. The second one is the simplified refined instrumental variables estimator. A comparison study between the developed estimators is done via a numerical example. A Monte Carlo simulation analysis results are presented to illustrate the performances of the proposed methods in the presence of an additive output noise. © 2016 IEEE.},

note = {Cited by: 9},

keywords = {Continuous time systems, Continuous-time, Differential equations, Estimation, Fractional differential equations, Fractional differentiation, Identification (control systems), Instrumental variables, Intelligent systems, Linear parameter varying models, Linear parameter varying systems, Linear systems, LPV systems, Monte Carlo methods, Parameter estimation, Refined instrumental variables, Religious buildings},

pubstate = {published},

tppubtype = {conference}

}

@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}

}

@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}

}

@conference{Houiji2014b,

title = {Detection time for deterministic and stochastic systems with unknown inputs},

author = {Marwa Houiji and Rim Hamdaoui and Mohamed Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946686815\&doi=10.1109%2fCISTEM.2014.7076982\&partnerID=40\&md5=0be64cd709ae198f91a4d2b9aecc2dae},

doi = {10.1109/CISTEM.2014.7076982},

year  = {2014},

date = {2014-01-01},

journal = {2014 International Conference on Electrical Sciences and Technologies in Maghreb, CISTEM 2014},

abstract = {This paper investigates the detection and diagnosis of actuator faults by using an Unknown Input Observer (UIO).The proposed UIO design guarantees robust residual generation through decoupling the disturbances effects from the faults ones. The discrimination between the faults and the effects of uncertain signals and perturbations on the residues minimizes the duration of fault detection for deterministic systems. Then these results were extended to the general case of stochastic linear systems by using an optimal observers for systems with unknown disturbances and noise. A simulation is done on an aeronautic model to illustrate the theoretical development. © 2014 IEEE.},

note = {Cited by: 1},

keywords = {Detection and diagnosis, Deterministic systems, Fault detection, Linear systems, Optimal observers, Robust residuals, Stochastic linear systems, Stochastic systems, Theoretical development, Unknown disturbance, Unknown input observer},

pubstate = {published},

tppubtype = {conference}

}

@conference{Aoun2012b,

title = {Continuous fractional Kalman filter},

author = {Mohamed Aoun and Slaheddine Najar and Moufida Abdelhamid and Mohamed Naceur Abdelkrim},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84861605131\&doi=10.1109%2fSSD.2012.6198068\&partnerID=40\&md5=3b5a3d80fe7b60e0ca04ee80eddf2959},

doi = {10.1109/SSD.2012.6198068},

year  = {2012},

date = {2012-01-01},

journal = {International Multi-Conference on Systems, Signals and Devices, SSD 2012 - Summary Proceedings},

abstract = {This paper develops a new Kalman filter for linear systems described with continuous time fractional model. It extends the classical Kalman filter to deals with fractional differentiation. It is called continuous fractional Kalman Filter. The algorithm of the new filter is detailed and a suboptimal filter can be deduced. A numerical example illustrates the state estimation of a fractional model with the new filter. © 2012 IEEE.},

note = {Cited by: 4},

keywords = {Continuous time, Fractional differentiation, Fractional model, Kalman filters, Linear systems, Numerical example, State estimation, Suboptimal filter},

pubstate = {published},

tppubtype = {conference}

}

@conference{Malti20031663,

title = {Fractional Multimodels - Application to Heat Transfer Modeling},

author = {R. Malti and M. Aoun and J. -L. Battaglia and A. Oustaloup and K. Madani},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84875296967\&doi=10.1016%2fS1474-6670%2817%2934999-6\&partnerID=40\&md5=4d376fa9be56a199ca80c932be521309},

doi = {10.1016/S1474-6670(17)34999-6},

year  = {2003},

date = {2003-01-01},

journal = {IFAC Proceedings Volumes (IFAC-PapersOnline)},

volume = {36},

number = {16},

pages = {1663 \textendash 1668},

abstract = {This paper deals with identification of non linear systems using non linear fractional differentiation multimodels. All sub-models are described by fractional differentiation transfer functions. Performance of the newly proposed class of models is illustrated on a heat transfer process near a phase change temperature. © 2003 International Federation of Automatic Control.},

note = {Cited by: 4},

keywords = {Fractional differentiation, Fractional dynamics, Fractional order, Heat transfer model, Heat transfer performance, Heat transfer process, Identification (control systems), Linear systems, Multi-model, Multi-models, Nonlinear systems, Phase change temperature},

pubstate = {published},

tppubtype = {conference}

}

@conference{Malti20031663b,

title = {Fractional Multimodels - Application to Heat Transfer Modeling},

author = {R. Malti and M. Aoun and J. -L. Battaglia and A. Oustaloup and K. Madani},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84875296967\&doi=10.1016%2fS1474-6670%2817%2934999-6\&partnerID=40\&md5=4d376fa9be56a199ca80c932be521309},

doi = {10.1016/S1474-6670(17)34999-6},

year  = {2003},

date = {2003-01-01},

journal = {IFAC Proceedings Volumes (IFAC-PapersOnline)},

volume = {36},

number = {16},

pages = {1663 \textendash 1668},

abstract = {This paper deals with identification of non linear systems using non linear fractional differentiation multimodels. All sub-models are described by fractional differentiation transfer functions. Performance of the newly proposed class of models is illustrated on a heat transfer process near a phase change temperature. © 2003 International Federation of Automatic Control.},

note = {Cited by: 4},

keywords = {Fractional differentiation, Fractional dynamics, Fractional order, Heat transfer model, Heat transfer performance, Heat transfer process, Identification (control systems), Linear systems, Multi-model, Multi-models, Nonlinear systems, Phase change temperature},

pubstate = {published},

tppubtype = {conference}

}

@conference{Aoun2002265,

title = {System identification using fractional hammerstein models},

author = {Mohamed Aoun and Rachid Malti and Olivier Cois and Alain Oustaloup},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84945550683\&doi=10.3182%2f20020721-6-es-1901.01030\&partnerID=40\&md5=106ff8852a5dbedf91e03c25f0e7bb03},

doi = {10.3182/20020721-6-es-1901.01030},

year  = {2002},

date = {2002-01-01},

journal = {IFAC Proceedings Volumes (IFAC-PapersOnline)},

volume = {15},

number = {1},

pages = {265 \textendash 269},

abstract = {Identification of continuous-time non-linear systems characterised by fractional order dynamics is studied. The Riemann-Liouville definition of fractional differentiation is used. A new identification method is proposed through the extension of Hammerstein-type models by allowing their linear part to belong to the class of fractional models. Fractional models are compact and so are used here to model complex dynamics with few parameters. Copyright © 2002 IFAC.},

note = {Cited by: 23},

keywords = {Automation, Continuous time systems, Fractional differentiation, Fractional model, Fractional order, Hammerstein model, Hammerstein-type models, Identification (control systems), Identification method, Linear systems, Non-linear modelling, Nonlinear systems, Riemann-liouville definitions},

pubstate = {published},

tppubtype = {conference}

}

@conference{Aoun2002265b,

title = {System identification using fractional hammerstein models},

author = {Mohamed Aoun and Rachid Malti and Olivier Cois and Alain Oustaloup},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84945550683\&doi=10.3182%2f20020721-6-es-1901.01030\&partnerID=40\&md5=106ff8852a5dbedf91e03c25f0e7bb03},

doi = {10.3182/20020721-6-es-1901.01030},

year  = {2002},

date = {2002-01-01},

journal = {IFAC Proceedings Volumes (IFAC-PapersOnline)},

volume = {15},

number = {1},

pages = {265 \textendash 269},

abstract = {Identification of continuous-time non-linear systems characterised by fractional order dynamics is studied. The Riemann-Liouville definition of fractional differentiation is used. A new identification method is proposed through the extension of Hammerstein-type models by allowing their linear part to belong to the class of fractional models. Fractional models are compact and so are used here to model complex dynamics with few parameters. Copyright © 2002 IFAC.},

note = {Cited by: 23},

keywords = {Automation, Continuous time systems, Fractional differentiation, Fractional model, Fractional order, Hammerstein model, Hammerstein-type models, Identification (control systems), Identification method, Linear systems, Non-linear modelling, Nonlinear systems, Riemann-liouville definitions},

pubstate = {published},

tppubtype = {conference}

}