Publications

@conference{Abdelkrim2023,

title = {Diagnosis and FTC : descriptor approach},

author = {T. Abdelkrim and W. B. Hassen and N. Abdelkrim and A. Tellili},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182942646\&doi=10.1109%2fIW_MSS59200.2023.10369866\&partnerID=40\&md5=3c62704ef7cfe74e28f5f066859b3d8c},

doi = {10.1109/IW_MSS59200.2023.10369866},

isbn = {9798350327564},

year  = {2023},

date = {2023-01-01},

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

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

abstract = {In this paper we propose an approach of fault diagnosis and identification (FDI) and fault tolerant control(FTC) applied for time-delay continuous linear systems. To estimate the sensors faults descriptor approach is investigated. This method consists in augmenting the state system by considering the fault as an auxiliary state. The used observer can simultaneously estimate both the state system and sensors faults. The observer gains are then determined according to Linear Matrix Inequalities (LMI) technique. For fault tolerant control we present two control strategies which stabilize the system not only in free-fault case, but also in the fault occurrence. The first one consists in determine the state-feedback gain and the second one is based on the static output-feedback control. A numerical example is proposed to demonstrate the effectiveness and the merit of the given design. © 2023 IEEE.},

note = {cited By 0},

keywords = {Continuous time systems; Delay control systems; Fault detection; Fault tolerance; Feedback control; Linear systems; State feedback; Time delay; Timing circuits, Descriptor approach; Fault diagnosis and identification; Fault estimation; Faults tolerant controls; Linear matrix in equalities; Observer; Sensors faults; System faults; Time-delay systems; Time-delays, Linear matrix inequalities},

pubstate = {published},

tppubtype = {conference}

}

@conference{Aloui2023,

title = {Estimating and enlarging the domain of attraction for polynomial systems using a deep learning tool},

author = {Messaoud Aloui and Faical Hamidi and Houssem Jerbi and Mohamed Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182927297\&doi=10.1109%2fIW_MSS59200.2023.10369522\&partnerID=40\&md5=244fee6b04ee656e55d354fe1fac648e},

doi = {10.1109/IW_MSS59200.2023.10369522},

year  = {2023},

date = {2023-01-01},

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

abstract = {This Paper deals with the topic of non linear polynomial systems. It explains a way to estimate and enlarge the region of attraction of nonlinear polynomial systems. It provides a deep learning method for estimating the domain of attraction and uses the Particle Swarm Optimization Algorithm to enlarge this domain. Based on an analytic method found in literature, a dataset is generated, used then to train an artificial neural network, which will be an objective function of an optimization algorithm. This method dives an imitation to a previous complicated method, with less complexity and les elapsed time. The benchmark examples show the efficiency of the method and compare results with those obtained with the one using linear matrix inequalities. © 2023 IEEE.},

keywords = {Deep learning, Domain of attraction, Learning systems, Learning tool, Linear matrix inequalities, Linear polynomials, Lyapunov functions, Lyapunov's functions, Neural networks, Non linear, Particle swarm, Particle swarm optimization, Particle swarm optimization (PSO), Polynomial systems, Polynomials, Swarm intelligence, Swarm optimization},

pubstate = {published},

tppubtype = {conference}

}

@conference{Aloui2023b,

title = {Estimating and enlarging the domain of attraction for polynomial systems using a deep learning tool},

author = {Messaoud Aloui and Faical Hamidi and Houssem Jerbi and Mohamed Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182927297\&doi=10.1109%2fIW_MSS59200.2023.10369522\&partnerID=40\&md5=244fee6b04ee656e55d354fe1fac648e},

doi = {10.1109/IW_MSS59200.2023.10369522},

year  = {2023},

date = {2023-01-01},

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

abstract = {This Paper deals with the topic of non linear polynomial systems. It explains a way to estimate and enlarge the region of attraction of nonlinear polynomial systems. It provides a deep learning method for estimating the domain of attraction and uses the Particle Swarm Optimization Algorithm to enlarge this domain. Based on an analytic method found in literature, a dataset is generated, used then to train an artificial neural network, which will be an objective function of an optimization algorithm. This method dives an imitation to a previous complicated method, with less complexity and les elapsed time. The benchmark examples show the efficiency of the method and compare results with those obtained with the one using linear matrix inequalities. © 2023 IEEE.},

keywords = {Deep learning, Domain of attraction, Learning systems, Learning tool, Linear matrix inequalities, Linear polynomials, Lyapunov functions, Lyapunov's functions, Neural networks, Non linear, Particle swarm, Particle swarm optimization, Particle swarm optimization (PSO), Polynomial systems, Polynomials, Swarm intelligence, Swarm optimization},

pubstate = {published},

tppubtype = {conference}

}

@conference{Dadi20239455,

title = {Zonotope-based Fault Estimation for Uncertain Discrete-Time Switched Linear Systems},

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

editor = {Imura J. Ebihara Y. Ishii H.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184963025\&doi=10.1016%2fj.ifacol.2023.10.240\&partnerID=40\&md5=f71bb669c8449ccdfc84abc94e681683},

doi = {10.1016/j.ifacol.2023.10.240},

issn = {24058963},

year  = {2023},

date = {2023-01-01},

journal = {IFAC-PapersOnLine},

volume = {56},

number = {2},

pages = {9455-9460},

publisher = {Elsevier B.V.},

abstract = {This paper investigates actuator fault estimation for discrete-time switched linear systems subject to unknown but bounded disturbances and measurement noises. By taking the fault as an auxiliary state vector, the proposed method consists of two steps. First, a switched L∞-based descriptor observer attenuating the effect of uncertainties is designed to obtain simultaneous point estimate of the system state and the fault term. Second, interval estimation is achieved by integrating robust point estimation with zonotopic analysis techniques. The observer gains are calculated by solving Linear Matrix Inequality (LMI) derived using a common Lyapunov function. Finally, the effectiveness of the proposed approach is demonstrated through a numerical example. Copyright © 2023 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 = {Actuator fault; Discrete time; Discrete-time switched linear system; Fault estimation; LMI; Peak analysis; Peak-to-peak; Peak-to-peak analyse; Switched linear system; Zonotopes, Linear matrix inequalities, Linear systems; Lyapunov functions; Uncertainty analysis},

pubstate = {published},

tppubtype = {conference}

}

@conference{Mizouri2023434,

title = {L∞-Functional Interval Observers for Continuous-time Linear Parameter-Varying Multivariable Systems},

author = {H. Mizouri and R. Lamouchi and M. Amairi},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167802741\&doi=10.1109%2fMED59994.2023.10185821\&partnerID=40\&md5=bedeb166743e9bb0e95812ae4b62239b},

doi = {10.1109/MED59994.2023.10185821},

isbn = {9798350315431},

year  = {2023},

date = {2023-01-01},

journal = {2023 31st Mediterranean Conference on Control and Automation, MED 2023},

pages = {434-439},

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

abstract = {A functional interval estimation method is proposed for Linear Parameter-Varying (LPV) multivariable systems with external disturbance and measurement noise. According to the interval analysis, the proposed estimator gives the upper and lower boundaries of the linear functional state. An L∞ criterion is used to enhance stability and estimation accuracy. The design conditions are stated in the form of Linear Matrix Inequalities (LMIs). Finally, a numerical example is considered to check the validity of the proposed methodology. © 2023 IEEE.},

note = {cited By 2},

keywords = {Continous time; Functional interval; Functional interval observer; Interval estimation; Interval observers; Linear matrix in equalities; Linear parameter varying; Linear parameter varying systems; L∞ formalism; Multi-variables system, Continuous time systems; Linear systems; Multivariable systems, Linear matrix inequalities},

pubstate = {published},

tppubtype = {conference}

}

@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{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{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{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{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}

}

@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}

}

@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{Gasmi2018771b,

title = {H∞ Observer-Based Controller for Lipschitz Nonlinear Discrete-Time Systems},

author = {Noussaiba Gasmi and Mohamed Boutayeb and Assem Thabet and Mohamed Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053453447\&doi=10.1109%2fMED.2018.8442675\&partnerID=40\&md5=5a3255b8f67c35a8dea17ac229a35652},

doi = {10.1109/MED.2018.8442675},

year  = {2018},

date = {2018-01-01},

journal = {MED 2018 - 26th Mediterranean Conference on Control and Automation},

pages = {771 \textendash 775},

abstract = {Within the paper, a relevant H∞observer-based controller design for a class of Lipschitz nonlinear discrete-time systems is proposed. Usually, Bilinear Matrix Inequaities (BMIs) are obtained from the resolution of the observer-based stabilization design problem for this class of systems. Since, the resolution of a BMI is a hard task, then it is interesting to search for a convenient way to linearize the obtained conditions. Therefore, the objective of this paper is to present new Linear Matrix Inequality (LMI) conditions ensuring the convergence of the observer-based controller in a noisy context. Thanks to the introduction of a slack variable the presented LMI conditions are more general and less conservative than the existence ones. Indeed, reformulations of the Lipschitz property and Young's relation in a convenient way lead to a more relaxed new LMI. A numerical example is implemented to show high performances of the proposed design methodology with respect to some existing results. © 2018 IEEE.},

note = {Cited by: 0},

keywords = {Bilinear matrix, Controllers, Design Methodology, Design problems, Digital control systems, Discrete time control systems, Linear matrix inequalities, Lipschitz property, Nonlinear discrete-time systems, Observer-based, Observer-based controllers, Robustness (control systems), Slack variables},

pubstate = {published},

tppubtype = {conference}

}

@conference{Gasmi2018111b,

title = {H ∞ Sliding Window Observer Design for Lipschitz Discrete-Time Systems},

author = {Noussaiba Gasmi and Mohamed Boutayeb and Assem Thabet and Mohamed Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85061079973\&doi=10.1109%2fICoSC.2018.8587622\&partnerID=40\&md5=35bde69fee7112543b44587ab1dda799},

doi = {10.1109/ICoSC.2018.8587622},

year  = {2018},

date = {2018-01-01},

journal = {2018 7th International Conference on Systems and Control, ICSC 2018},

pages = {111 \textendash 116},

abstract = {This paper focuses on the H ∞ observer design for Lipschitz discrete-time nonlinear systems. The main idea consists in using previous measurements in a Luenberger observer through a sliding window to obtain less restrictive constraint. Reformulations of both Lipschitz property and Young's relation are used to offer greater degree of freedom to the obtained constraint. The presented result is in the form of BMI (Bilinear Matrix Inequality) which is transformed into LMI (Linear Matrix Inequality) through an interesting approach. The resulting constraint can be easily achieved with standard software algorithms. Then, to prove the superiority of the proposed design methodology, a comparison with the classical case is presented. Numerical examples are given to illustrate the effectiveness and the high performances of the proposed filter. © 2018 IEEE.},

note = {Cited by: 0},

keywords = {Bilinear matrix inequality, Degrees of freedom (mechanics), Design, Design Methodology, Digital control systems, Discrete - time systems, Discrete time control systems, Discrete-time nonlinear systems, Linear matrix inequalities, Lipschitz property, LMI (linear matrix inequality), Luenberger observers, Restrictive constraints},

pubstate = {published},

tppubtype = {conference}

}

@conference{Frej2017306,

title = {Distributed observer-based guaranteed cost control design for large scale interconnected systems},

author = {Ghazi Bel Haj Frej and Assem Thabet and Mohamed Boutayeb and Mohamed Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045565632\&doi=10.1109%2fCoDIT.2017.8102609\&partnerID=40\&md5=fa1b4436c0485b11111c0581b434d960},

doi = {10.1109/CoDIT.2017.8102609},

year  = {2017},

date = {2017-01-01},

journal = {2017 4th International Conference on Control, Decision and Information Technologies, CoDIT 2017},

volume = {2017-January},

pages = {306 \textendash 311},

abstract = {This paper focuses on the problem of observer-based distributed guaranteed cost control for large scale nonlinear interconnected systems with a chosen quadratic cost function. The aim is to ensures closed-loop stability and guaranteed cost for all planned parameter changes. For that, differential mean value theorem is used to introduce a general condition on the nonlinear time-varying interconnections functions. The obtained design procedures are formulated in the form of Linear matrix inequalities (LMIs) by using the Lyapunovs direct method stability analysis. Effectiveness of the proposed scheme is verified through simulation results on a power system with three interconnected machines. © 2017 IEEE.},

note = {Cited by: 1},

keywords = {Cost effectiveness, Cost functions, Costs, Differential mean value theorems, Guaranteed cost, Large scale systems, Large-scale interconnected systems, Linear matrix inequalities, Linear Matrix Inequalities (LMIs), Lyapunov stability, Nonlinear interconnected systems, Observer based control, Quadratic cost functions, Robustness (control systems)},

pubstate = {published},

tppubtype = {conference}

}

@conference{Frej2017306b,

title = {Distributed observer-based guaranteed cost control design for large scale interconnected systems},

author = {Ghazi Bel Haj Frej and Assem Thabet and Mohamed Boutayeb and Mohamed Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045565632\&doi=10.1109%2fCoDIT.2017.8102609\&partnerID=40\&md5=fa1b4436c0485b11111c0581b434d960},

doi = {10.1109/CoDIT.2017.8102609},

year  = {2017},

date = {2017-01-01},

journal = {2017 4th International Conference on Control, Decision and Information Technologies, CoDIT 2017},

volume = {2017-January},

pages = {306 \textendash 311},

abstract = {This paper focuses on the problem of observer-based distributed guaranteed cost control for large scale nonlinear interconnected systems with a chosen quadratic cost function. The aim is to ensures closed-loop stability and guaranteed cost for all planned parameter changes. For that, differential mean value theorem is used to introduce a general condition on the nonlinear time-varying interconnections functions. The obtained design procedures are formulated in the form of Linear matrix inequalities (LMIs) by using the Lyapunovs direct method stability analysis. Effectiveness of the proposed scheme is verified through simulation results on a power system with three interconnected machines. © 2017 IEEE.},

note = {Cited by: 1},

keywords = {Cost effectiveness, Cost functions, Costs, Differential mean value theorems, Guaranteed cost, Large scale systems, Large-scale interconnected systems, Linear matrix inequalities, Linear Matrix Inequalities (LMIs), Lyapunov stability, Nonlinear interconnected systems, Observer based control, Quadratic cost functions, Robustness (control systems)},

pubstate = {published},

tppubtype = {conference}

}

@conference{BelHajFrej2016905c,

title = {Decentralized observers of a large class of nonlinear interconnected systems},

author = {G. Bel Haj Frej and A. Thabet and M. Boutayeb and M. Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979657055\&doi=10.1109%2fSTA.2015.7505091\&partnerID=40\&md5=51044233aec05c7e771789c2852c0f99},

doi = {10.1109/STA.2015.7505091},

year  = {2016},

date = {2016-01-01},

journal = {16th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2015},

pages = {905 \textendash 910},

abstract = {The objective of this paper is the synthesis of decentralized state observers for large class of nonlinear interconnected systems. The procedure uses the Differential Mean Value Theorem (DMVT) to simplify the design of estimation and control matrices gains. A general condition on the non linear time-varying interconnections functions is introduced. To ensure asymptotic stability, sufficient conditions are formulated in Linear Matrix Inequalities (LMIs). High performances are shown through numerical simulation. © 2015 IEEE.},

note = {Cited by: 1},

keywords = {Asymptotic stability, Automation, Control matrices, Decentralized state observers, Differential mean value theorems, Linear matrix inequalities, Matrix algebra, Non linear, Nonlinear interconnected systems, Process control},

pubstate = {published},

tppubtype = {conference}

}

@conference{BelHajFrej2016358c,

title = {Decentralized observer-based control of nonlinear interconnected systems with nonlinear dynamics},

author = {Ghazi Bel Haj Frej and Assem Thabet and Mohamed Boutayeb and Mohamed Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84974555525\&doi=10.1109%2fSSD.2016.7473666\&partnerID=40\&md5=eaa21e5099cd2c1f83e64f935eeadb9f},

doi = {10.1109/SSD.2016.7473666},

year  = {2016},

date = {2016-01-01},

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

pages = {358 \textendash 363},

abstract = {This paper presents a method for the design of decentralized state observer-based control for a class of systems which are modeled as nonlinear subsystems linked by nonlinear time varying interconnections. The non linearity of each subsystem satisfies the Lipschitz condition and the only information about the nonlinear interconnection is that satisfies a quadratic constraint. The key to our work is, in one hand, the reformulation of the Lipschitz condition and the quadratic constraint using the differential mean value to simplify the design of estimation and control matrices gains, and in another hand the use of the Lyapunov's direct method stability analysis. Sufficient conditions that ensure the existence of observer based feedback controller are established in terms of linear matrix inequalities. A numerical example is given to mark the effectiveness of the control design. © 2016 IEEE.},

note = {Cited by: 2},

keywords = {Decentralized state observers, Linear matrix inequalities, Lipschitz conditions, Lyapunov's direct method, Nonlinear control systems, Nonlinear interconnected systems, Nonlinear interconnections, Nonlinear subsystems, Observer based control, Quadratic constraint},

pubstate = {published},

tppubtype = {conference}

}

@conference{BelHajFrej2016358b,

title = {Decentralized observer-based control of nonlinear interconnected systems with nonlinear dynamics},

author = {Ghazi Bel Haj Frej and Assem Thabet and Mohamed Boutayeb and Mohamed Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84974555525\&doi=10.1109%2fSSD.2016.7473666\&partnerID=40\&md5=eaa21e5099cd2c1f83e64f935eeadb9f},

doi = {10.1109/SSD.2016.7473666},

year  = {2016},

date = {2016-01-01},

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

pages = {358 \textendash 363},

abstract = {This paper presents a method for the design of decentralized state observer-based control for a class of systems which are modeled as nonlinear subsystems linked by nonlinear time varying interconnections. The non linearity of each subsystem satisfies the Lipschitz condition and the only information about the nonlinear interconnection is that satisfies a quadratic constraint. The key to our work is, in one hand, the reformulation of the Lipschitz condition and the quadratic constraint using the differential mean value to simplify the design of estimation and control matrices gains, and in another hand the use of the Lyapunov's direct method stability analysis. Sufficient conditions that ensure the existence of observer based feedback controller are established in terms of linear matrix inequalities. A numerical example is given to mark the effectiveness of the control design. © 2016 IEEE.},

note = {Cited by: 2},

keywords = {Decentralized state observers, Linear matrix inequalities, Lipschitz conditions, Lyapunov's direct method, Nonlinear control systems, Nonlinear interconnected systems, Nonlinear interconnections, Nonlinear subsystems, Observer based control, Quadratic constraint},

pubstate = {published},

tppubtype = {conference}

}

@conference{BelHajFrej2016905b,

title = {Decentralized observers of a large class of nonlinear interconnected systems},

author = {G. Bel Haj Frej and A. Thabet and M. Boutayeb and M. Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979657055\&doi=10.1109%2fSTA.2015.7505091\&partnerID=40\&md5=51044233aec05c7e771789c2852c0f99},

doi = {10.1109/STA.2015.7505091},

year  = {2016},

date = {2016-01-01},

journal = {16th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2015},

pages = {905 \textendash 910},

abstract = {The objective of this paper is the synthesis of decentralized state observers for large class of nonlinear interconnected systems. The procedure uses the Differential Mean Value Theorem (DMVT) to simplify the design of estimation and control matrices gains. A general condition on the non linear time-varying interconnections functions is introduced. To ensure asymptotic stability, sufficient conditions are formulated in Linear Matrix Inequalities (LMIs). High performances are shown through numerical simulation. © 2015 IEEE.},

note = {Cited by: 1},

keywords = {Asymptotic stability, Automation, Control matrices, Decentralized state observers, Differential mean value theorems, Linear matrix inequalities, Matrix algebra, Non linear, Nonlinear interconnected systems, Process control},

pubstate = {published},

tppubtype = {conference}

}

@conference{Gasmi2016799b,

title = {Ob_server design fo a class of nonlinear discrete time systems},

author = {N. Gasmi and A. Thabet and M. Boutayeb and M. Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979691968\&doi=10.1109%2fSTA.2015.7505084\&partnerID=40\&md5=c0a9f25a510a1303bdee32a74f93b688},

doi = {10.1109/STA.2015.7505084},

year  = {2016},

date = {2016-01-01},

journal = {16th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2015},

pages = {799 \textendash 804},

abstract = {This paper focuses in the observer design for non-linear discrete time systems. The main objective is the application of the Differential Mean Value Theorem (DMVT) to transform the nonlinear dynamics error to a linear parameter varying (LPV) system. This aims to introduce a less restrictive condition on the nonlinear functions. To ensure asymptotic stability, sufficient conditions are formulated in Linear Matrix Inequalities (LMIs). For comparison, an observer based on the utilization of the One-Sided Lipschitz condition is introduced. High performances are shown through numerical simulation. © 2015 IEEE.},

note = {Cited by: 8},

keywords = {Asymptotic stability, Automation, Differential mean value theorems, Digital control systems, Discrete time control systems, Linear matrix inequalities, Linear parameter varying systems, Mathematical transformations, Nonlinear discrete-time systems, Nonlinear functions, Observer design, Observer-based, One-sided Lipschitz condition, Process control, Restrictive conditions},

pubstate = {published},

tppubtype = {conference}

}

@conference{BelHajFrej2016905,

title = {Decentralized observers of a large class of nonlinear interconnected systems},

author = {G. Bel Haj Frej and A. Thabet and M. Boutayeb and M. Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979657055\&doi=10.1109%2fSTA.2015.7505091\&partnerID=40\&md5=51044233aec05c7e771789c2852c0f99},

doi = {10.1109/STA.2015.7505091},

isbn = {9781467392341},

year  = {2016},

date = {2016-01-01},

journal = {16th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2015},

pages = {905-910},

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

abstract = {The objective of this paper is the synthesis of decentralized state observers for large class of nonlinear interconnected systems. The procedure uses the Differential Mean Value Theorem (DMVT) to simplify the design of estimation and control matrices gains. A general condition on the non linear time-varying interconnections functions is introduced. To ensure asymptotic stability, sufficient conditions are formulated in Linear Matrix Inequalities (LMIs). High performances are shown through numerical simulation. © 2015 IEEE.},

note = {cited By 1},

keywords = {Asymptotic stability; Automation; Matrix algebra; Process control, Control matrices; Decentralized state observers; Differential mean value theorems; Non linear; Nonlinear interconnected systems, Linear matrix inequalities},

pubstate = {published},

tppubtype = {conference}

}

@conference{BelHajFrej2016358,

title = {Decentralized observer-based control of nonlinear interconnected systems with nonlinear dynamics},

author = {G. Bel Haj Frej and A. Thabet and M. Boutayeb and M. Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84974555525\&doi=10.1109%2fSSD.2016.7473666\&partnerID=40\&md5=eaa21e5099cd2c1f83e64f935eeadb9f},

doi = {10.1109/SSD.2016.7473666},

isbn = {9781509012916},

year  = {2016},

date = {2016-01-01},

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

pages = {358-363},

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

abstract = {This paper presents a method for the design of decentralized state observer-based control for a class of systems which are modeled as nonlinear subsystems linked by nonlinear time varying interconnections. The non linearity of each subsystem satisfies the Lipschitz condition and the only information about the nonlinear interconnection is that satisfies a quadratic constraint. The key to our work is, in one hand, the reformulation of the Lipschitz condition and the quadratic constraint using the differential mean value to simplify the design of estimation and control matrices gains, and in another hand the use of the Lyapunov's direct method stability analysis. Sufficient conditions that ensure the existence of observer based feedback controller are established in terms of linear matrix inequalities. A numerical example is given to mark the effectiveness of the control design. © 2016 IEEE.},

note = {cited By 2},

keywords = {Decentralized state observers; Lipschitz conditions; Lyapunov's direct method; Nonlinear interconnected systems; Nonlinear interconnections; Nonlinear subsystems; Observer based control; Quadratic constraint, Linear matrix inequalities, Nonlinear control systems},

pubstate = {published},

tppubtype = {conference}

}