Publications

@conference{Lamouchi2022773b,

title = {Robust Fault Detection based on Zonotopic Observers for Linear Parameter Varying Systems},

author = {Rihab Lamouchi and Messaoud Amairi and Tarek Raissi and Mohamed Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85136283232\&doi=10.1109%2fMED54222.2022.9837269\&partnerID=40\&md5=0f45c413f1fc67c6778e347ed65a2432},

doi = {10.1109/MED54222.2022.9837269},

year  = {2022},

date = {2022-01-01},

journal = {2022 30th Mediterranean Conference on Control and Automation, MED 2022},

pages = {773 \textendash 778},

abstract = {In this paper, zonotopic fault detection methodology is proposed for a class of discrete-Time Linear Parameter Varying (LPV) systems with sensor faults. The disturbances and measurement noise are assumed to be unknown but bounded by zonotope. First, a fault detection observer is designed based on L? performance to attenuate the effects of the uncertainties and to improve the accuracy of the proposed residual framers. Then, the fault sensitivity is taken into account by measuring H-performance and zonotopic residual evaluation is presented. Finally, the effectiveness of the proposed method is demonstrated by a numerical example. © 2022 IEEE.},

note = {Cited by: 1},

keywords = {Discrete time, Fault detection, Faults detection, Linear parameter varying systems, Linear systems, Measurement Noise, Numerical methods, Performance, Robust fault detection, Sensors faults, Uncertainty, Unknown but bounded, Zonotopes},

pubstate = {published},

tppubtype = {conference}

}

@conference{Dadi202273b,

title = {New Finite-Time Observers design for a Discrete-Time Switched Linear System},

author = {Leila Dadi and Thach Ngoc Dinh and Tarek Ra\"{i}ssi and Haifa Ethabet and Mohamed Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159376419\&doi=10.1016%2fj.ifacol.2023.01.051\&partnerID=40\&md5=949c6c46f6060c2b436e93abc952c158},

doi = {10.1016/j.ifacol.2023.01.051},

year  = {2022},

date = {2022-01-01},

journal = {IFAC-PapersOnLine},

volume = {55},

number = {40},

pages = {73 \textendash 78},

abstract = {In this work, we consider a discrete-time switched linear system. A novel approach is introduced to estimate its state in a finite fixed time which can be arbitrarily chosen and is independent of the initial state. For cases where the additive disturbance and measurement noise are known, we provide an exact estimation. Otherwise, a finite-time interval observer is designed. The crucial idea is based on using past values of the input and output of the studied system and a minimal dwell time condition. Simulation results are provided to illustrate the effectiveness of the proposed techniques in different scenarios of finite time choices. Copyright © 2022 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; All Open Access, Bronze Open Access, Green Open Access},

keywords = {Additive disturbance, Approximate estimation, Discrete time, Exact estimation, Finite-time observers, Fixed time, Initial state, Linear systems, Measurement Noise, Observers designs, Switched linear 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{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}

}