Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/83097
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Type: Journal article
Title: A new approach to observer-based fault-tolerant controller design for Takagi-Sugeno fuzzy systems with state delay
Author: Zhang, K.
Jiang, B.
Shi, P.
Citation: Circuits Systems and Signal Processing, 2009; 28(5):679-697
Publisher: Birkhauser Boston Inc
Issue Date: 2009
ISSN: 0278-081X
1531-5878
Statement of
Responsibility: 
Ke Zhang, Bin Jiang, Peng Shi
Abstract: This paper deals with the problem of active fault-tolerant control (FTC) for time-delay Takagi-Sugeno (T-S) fuzzy systems based on a fuzzy adaptive fault diagnosis observer (AFDO). A novel fuzzy fast adaptive fault estimation (FAFE) algorithm for T-S fuzzy models is proposed to enhance the performance of fault estimation, and sufficient conditions for the existence of the fault estimator are given in terms of linear matrix inequalities (LMIs). Using the obtained on-line fault estimation information, an observer-based fast active fault-tolerant controller is designed to compensate for the effect of faults by stabilizing the closed-loop system. Simulation results of a track trail system and a nonlinear numerical example are presented to illustrate the effectiveness of the proposed method.
Keywords: Active fault-tolerant control; Fault estimation; T-S fuzzy models; Time-delay systems; LMIs
Rights: © Birkhäuser Boston 2009
RMID: 0020127935
DOI: 10.1007/s00034-009-9109-4
Appears in Collections:Electrical and Electronic Engineering publications

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