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Fast adaptive fault estimation and accommodation for nonlinear time‐varying delay systems
Author(s) -
Zhang Ke,
Jiang Bin,
Cocquempot Vincent
Publication year - 2009
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.145
Subject(s) - control theory (sociology) , observer (physics) , weighting , nonlinear system , fault (geology) , controller (irrigation) , computer science , fault tolerance , stability (learning theory) , control engineering , engineering , control (management) , artificial intelligence , medicine , distributed computing , physics , quantum mechanics , machine learning , seismology , biology , agronomy , radiology , geology
This paper studies the problem of fault estimation and accommodation for a class of nonlinear time‐varying delay systems using adaptive fault diagnosis observer (AFDO). A novel fast adaptive fault estimation algorithm that does not need the derivative of the output vector is proposed to enhance the performance of fault estimation. Meanwhile, a delay‐dependent criteria is obtained based on free weighting matrix method with the purpose of reducing the conservatism of the AFDO design. On the basis of fault estimation, an observer‐based fault‐tolerant controller is designed to guarantee the stability of the closed‐loop system. In terms of matrix inequality, we derive sufficient conditions for the existence of the adaptive observer and fault‐tolerant controller. Simulation results are presented to illustrate the efficiency of the proposed method. Copyright © 2009 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society