Publications

@conference{Dadi2021144b,

title = {Zonotope based Fault Tolerant Control for Discrete-Time Linear Time-Invariant Systems},

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

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130585277\&doi=10.1109%2fSCC53769.2021.9768392\&partnerID=40\&md5=61871b4c8b1ce06f3c2c0faa57f8e423},

doi = {10.1109/SCC53769.2021.9768392},

year  = {2021},

date = {2021-01-01},

journal = {2021 IEEE 2nd International Conference on Signal, Control and Communication, SCC 2021},

pages = {144 \textendash 149},

abstract = {This paper considers Faut Tolerant Control (FTC) problem for discrete-time Linear Time-Invariant systems (LTI) affected by faults on actuator. First, zonotope-based interval estimation technique is proposed, which integrate robust observer design with zonotopic analysis. By introducing H∞ performances in the observer design, the designed technique reduce the effects of uncertainties and improve the interval estimation accuracy. Based on the robust designed observer, the interval state estimation can be realized via a zonotopic analysis. Second, a FTC is designed to stabilize the close-loop system subject to actuator faults. The control law design is based on zonotopic technique, guaranteeing closed-loop stability. Simulation results are provided to illustrate the performance of the proposed method. © 2021 IEEE.},

note = {Cited by: 1},

keywords = {Actuators, Control problems, Discrete time control systems, Discrete-time linear time-invariant systems, Estimation techniques, Fault tolerance, Faults tolerant controls, H ∞, H∞approach, Interval estimation, Invariance, Linear control systems, Linear time-invariant system, Observers designs, Time invariant systems, Time varying control systems, Zonotopes},

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{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}

}