Publications

@conference{Dadi20239455,

title = {Zonotope-based Fault Estimation for Uncertain Discrete-Time Switched Linear Systems},

author = {L. Dadi and T. N. Dinh and R. Lamouchi and H. Ethabet and T. Ra\"{i}ssi and M. Aoun},

editor = {Imura J. Ebihara Y. Ishii H.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184963025\&doi=10.1016%2fj.ifacol.2023.10.240\&partnerID=40\&md5=f71bb669c8449ccdfc84abc94e681683},

doi = {10.1016/j.ifacol.2023.10.240},

issn = {24058963},

year  = {2023},

date = {2023-01-01},

journal = {IFAC-PapersOnLine},

volume = {56},

number = {2},

pages = {9455-9460},

publisher = {Elsevier B.V.},

abstract = {This paper investigates actuator fault estimation for discrete-time switched linear systems subject to unknown but bounded disturbances and measurement noises. By taking the fault as an auxiliary state vector, the proposed method consists of two steps. First, a switched L∞-based descriptor observer attenuating the effect of uncertainties is designed to obtain simultaneous point estimate of the system state and the fault term. Second, interval estimation is achieved by integrating robust point estimation with zonotopic analysis techniques. The observer gains are calculated by solving Linear Matrix Inequality (LMI) derived using a common Lyapunov function. Finally, the effectiveness of the proposed approach is demonstrated through a numerical example. Copyright © 2023 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},

keywords = {Actuator fault; Discrete time; Discrete-time switched linear system; Fault estimation; LMI; Peak analysis; Peak-to-peak; Peak-to-peak analyse; Switched linear system; Zonotopes, Linear matrix inequalities, Linear systems; Lyapunov functions; Uncertainty analysis},

pubstate = {published},

tppubtype = {conference}

}