Please use this identifier to cite or link to this item:
|Scopus||Web of Science®||Altmetric|
|Title:||A new approach to observer-based fault-tolerant controller design for Takagi-Sugeno fuzzy systems with state delay|
|Citation:||Circuits Systems and Signal Processing, 2009; 28(5):679-697|
|Publisher:||Birkhauser Boston Inc|
|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|
|Appears in Collections:||Electrical and Electronic Engineering publications|
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.