Guaranteed cost control analysis and iterative design for constrained Takagi–Sugeno systems

This paper presents a novel control design technique in order to obtain a guaranteed cost fuzzy controller subject to constraints on the input channel. This guaranteed cost control law is obtained via multi-parametric quadratic programming. The result is a piecewise fuzzy control law where the state...

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Bibliographic Details
Published inEngineering applications of artificial intelligence Vol. 23; no. 8; pp. 1420 - 1427
Main Authors Ariño, Carlos, Pérez, Emilio, Sala, Antonio
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.12.2010
Subjects
Channels
Constrained control
Constraints
Cost analysis
Design engineering
Fuzzy
Fuzzy control
Law
LMI
Multi-parametric quadratic programming
Parallel distributed compensation
Partitions
Piecewise control
Quadratic programming
Quadratic stability
Takagi–Sugeno fuzzy control
Parallel distributed compensation
Piecewise control
Takagi–Sugeno fuzzy control
Constrained control
LMI
Multi-parametric quadratic programming
Quadratic stability
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Summary:This paper presents a novel control design technique in order to obtain a guaranteed cost fuzzy controller subject to constraints on the input channel. This guaranteed cost control law is obtained via multi-parametric quadratic programming. The result is a piecewise fuzzy control law where the state partition is defined by fuzzy inequalities. The parameters of the Lyapunov function can be obtained previously using Linear Matrix Inequalities optimization.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0952-1976
1873-6769
DOI:10.1016/j.engappai.2010.03.004