DocumentCode
391340
Title
Fuzzy observer-based controller design for singularly perturbed nonlinear systems: an LMI approach
Author
Assawinchaichote, Wudhichai ; Nguang, Sing Kiong
Author_Institution
Dept. of Electr. & Electron. Eng., Auckland Univ., New Zealand
Volume
2
fYear
2002
fDate
10-13 Dec. 2002
Firstpage
2165
Abstract
This paper considers the problem of designing a fuzzy observer-based controller for a class of nonlinear singularly perturbed systems described by Takagi-Sugeno-Kang (TSK) fuzzy model. Fast and slow decomposition approach is utilized to derive a fuzzy observer-based controller which stabilises this class of singularly perturbed nonlinear systems.
Keywords
fuzzy control; linear matrix inequalities; nonlinear systems; observers; singularly perturbed systems; stability; Takagi Sugeno Kang model; fuzzy control; fuzzy model; linear matrix inequality; nonlinear systems; observer based control; singularly perturbed systems; stability; Control systems; Fuzzy control; Fuzzy systems; Mathematical model; Nonlinear control systems; Nonlinear systems; Power system control; Power system dynamics; Power system modeling; State-space methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2002, Proceedings of the 41st IEEE Conference on
ISSN
0191-2216
Print_ISBN
0-7803-7516-5
Type
conf
DOI
10.1109/CDC.2002.1184852
Filename
1184852
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