Decentralized Fuzzy Observer-Based Output-Feedback Control for Nonlinear Large-Scale Systems: An LMI Approach

This paper presents a decentralized fuzzy control problem for asymptotic stabilization of a class of nonlinear large-scale systems that use an observer-based output-feedback scheme. A Takagi-Sugeno (T-S) fuzzy model is adopted for the nonlinear large-scale system, which has unknown interconnection t...

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Bibliographic Details
Published inIEEE transactions on fuzzy systems Vol. 22; no. 2; pp. 406 - 419
Main Authors Koo, Geun Bum, Park, Jin Bae, Joo, Young Hoon
Format Journal Article
LanguageEnglish
Published New York IEEE 01.04.2014
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Asymptotic properties
Decentralized
Decentralized fuzzy control
Fuzzy
Fuzzy logic
Fuzzy set theory
Interconnection
maximum bound of interconnection
nonlinear large-scale system
Nonlinearity
observer-based output-feedback
Stabilization
Takagi-Sugeno (T-S) fuzzy model
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Summary:This paper presents a decentralized fuzzy control problem for asymptotic stabilization of a class of nonlinear large-scale systems that use an observer-based output-feedback scheme. A Takagi-Sugeno (T-S) fuzzy model is adopted for the nonlinear large-scale system, which has unknown interconnection terms, and a fuzzy controller is separately considered for measurable and nonmeasurable premise variable cases. Sufficient conditions are derived for both asymptotic stabilization and optimization of a maximum bound of interconnection and are formulated in terms of linear matrix inequalities. Finally, numerical examples are provided to verify the effectiveness of the proposed techniques.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1063-6706
1941-0034
DOI:10.1109/TFUZZ.2013.2259497