Fuzzy regulators and fuzzy observers: a linear matrix inequality approach

This paper presents LMI (linear matrix inequality) based designs of fuzzy control systems based on new relaxed stability conditions. LMI based design procedures for fuzzy regulators and fuzzy observers are constructed using the parallel distributed compensation and the relaxed stability conditions....

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Bibliographic Details
Published inProceedings of the 36th IEEE Conference on Decision and Control Vol. 2; pp. 1315 - 1320 vol.2
Main Authors Tanaka, K., Wang, H.O.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.01.1997
Subjects
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Fuzzy control
Fuzzy sets
Fuzzy systems
Input variables
Linear matrix inequalities
Nonlinear systems
Regulators
Stability
Takagi-Sugeno model
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Summary:This paper presents LMI (linear matrix inequality) based designs of fuzzy control systems based on new relaxed stability conditions. LMI based design procedures for fuzzy regulators and fuzzy observers are constructed using the parallel distributed compensation and the relaxed stability conditions. The design procedures realize effective and practical designs by utilizing other LMIs with respect to decay rate and constraints on control input and output. A design example for a nonlinear system demonstrates the utility of the LMI based design procedures.
ISBN:0780341872
9780780341876
ISSN:0191-2216
DOI:10.1109/CDC.1997.657640