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 in:IEEE transactions on fuzzy systems 2014-04, Vol.22 (2), p.406-419
Main Authors: Koo, Geun Bum, Park, Jin Bae, Joo, Young Hoon
Format: Article
Language:English
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.
ISSN:1063-6706
1941-0034
DOI:10.1109/TFUZZ.2013.2259497