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Title: On fuzzy model reference adaptive control systems : full-state feedback and output feedback
Authors: Leung, FHF 
Lam, HK
Tam, PKS
Keywords: Adaptive algorithms
Feedback control
Fuzzy control
Fuzzy sets
Mathematical models
System stability
Time varying systems
Issue Date: 1997
Publisher: IEEE
Source: ISCAS '97 : proceedings of 1997 IEEE International Symposium on Circuits and Systems : circuits and systems in the information age : June 9-12, 1997, Hong Kong, p. 665-668 How to cite?
Abstract: The problem of model reference adaptive control (MRAC) for nonlinear time-varying plants based on a fuzzy model is addressed. It is known that this kind of plants can readily be described by a fuzzy model. To tackle the plant parameter variations, an adaptive algorithm is derived to tune a designed fuzzy controller such that the system output follows a desired output from a reference fuzzy plant model. The stability of the closed-loop system is guaranteed. Cases of full-state feedback and output feedback are to be investigated. The results and merits of the proposed algorithms are illustrated by an example for each case.
ISBN: 0-7803-3583-X
Rights: © 1997 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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