2022 |
Dadi, Leila; Ethabet, Haifa; Aoun, Mohamed Set-Membership Fault Detection for Discrete-time Switched Linear Systems Conférence 2022, (Cited by: 0). Résumé | Liens | BibTeX | Étiquettes: 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 @conference{Dadi2022190b, This work deals with Fault Detection (FD) for a class of discrete-time switched linear systems with actuator faults subject to bounded disturbances. First, based on cooperativity and stability conditions and under the assumption that disturbances and measurement noise are unknown but bounded, upper and lower bounds of the state are calculated using an interval observer. The design conditions of the observer are expressed in terms of Linear Matrix Inequalities (LMIs). Second, a fault detection decision is developed to indicate the presence of faults using interval analysis. Simulation results are provided to illustrate the performance of the proposed fault detection approach. © 2022 IEEE. |
Dadi, Leila; Ethabet, Haifa; Aoun, Mohamed Set-Membership Fault Detection for Discrete-time Switched Linear Systems Conférence 2022, (Cited by: 0). Résumé | Liens | BibTeX | Étiquettes: 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 @conference{Dadi2022190, 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. |
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). Résumé | Liens | BibTeX | Étiquettes: 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 @article{Yousfi2017582b, 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. |
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). Résumé | Liens | BibTeX | Étiquettes: 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 @conference{Ethabet20176259b, 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 |
2014 |
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). Résumé | Liens | BibTeX | Étiquettes: 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 @conference{Yousfi20141637b, 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. |
Publications
2022 |
Set-Membership Fault Detection for Discrete-time Switched Linear Systems Conférence 2022, (Cited by: 0). |
Set-Membership Fault Detection for Discrete-time Switched Linear Systems Conférence 2022, (Cited by: 0). |
2017 |
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). |
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). |
2014 |
Interval observers design for singularly perturbed systems Conférence vol. 2015-February, no. February, 2014, (Cited by: 4). |