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Adaptive Nonlinear Actuator Fault Diagnosis for Uncertain Nonlinear Systems with Time‐Varying Delays
Author(s) -
Yao Lina,
Wang Hong,
Cocquempot Vincent
Publication year - 2014
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.790
Subject(s) - control theory (sociology) , nonlinear system , actuator , bounded function , observer (physics) , fault (geology) , norm (philosophy) , computer science , stability (learning theory) , state (computer science) , mathematics , algorithm , control (management) , artificial intelligence , mathematical analysis , physics , quantum mechanics , machine learning , seismology , political science , law , geology
ABSTRACT An actuator fault diagnosis method is presented in this paper for a class of time‐delayed nonlinear systems via the use of adaptive updating rules. The considered system is represented by a dynamic state space model where the time delays are embedded into the state vector. Model parameters are not perfectly known, which lead us to consider norm bounded uncertainties. An adaptive fault diagnosis observer is designed where the L yapunov stability theory is used to obtain the required adaptive tuning rule for estimation of the nonlinear actuator fault. A simulated numerical example is included to demonstrate the effectiveness of the proposed approach.