Publications

@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{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{Yousfi2015302b,

title = {Set-membership methodology for model-based systems prognosis},

author = {B. Yousfi and T. Ra\"{i}ssi and M. Amairi and M. Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84992504087\&doi=10.1016%2fj.ifacol.2015.09.544\&partnerID=40\&md5=7e3ccad3284ae336ba3fa70c7e9a83fd},

doi = {10.1016/j.ifacol.2015.09.544},

year  = {2015},

date = {2015-01-01},

journal = {IFAC-PapersOnLine},

volume = {28},

number = {21},

pages = {302 \textendash 307},

abstract = {This paper addresses unknown input interval estimation and prognosis for a class of uncertain systems. Under the assumption that the measurement noise and the disturbances are bounded, lower and upper bounds for the unmeasured state and unknown inputs are computed. Then, damage state estimation is formulated as a set-inversion problem. The setmembership methodology is applied to an electromechanical oscillator to show the effectiveness of the proposed technique. © 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.},

note = {Cited by: 3; All Open Access, Bronze Open Access},

keywords = {Fault detection, Interval estimation, Interval observers, Lower and upper bounds, Measurement Noise, Model-based systems, nocv1, Plant management, Set membership, Unknown input observer, Unknown inputs},

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{Houiji2014,

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

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

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

doi = {10.1109/CISTEM.2014.7076982},

year  = {2014},

date = {2014-01-01},

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

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

note = {Cited by: 1},

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

pubstate = {published},

tppubtype = {conference}

}