Publications

@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{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}

}