Robust stabilizing controller design for Takagi–Sugeno fuzzy descriptor systems under state constraints and actuator saturation

The aim of this paper is to present a new framework for designing robust controllers for uncertain nonlinear systems described by Takagi–Sugeno fuzzy descriptor systems and subject to input and state constraints. For this, a novel structure of modified parallel distributed compensation control laws...

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Bibliographic Details
Published inFuzzy sets and systems Vol. 329; pp. 77 - 90
Main Authors Dang, Quoc Viet, Vermeiren, Laurent, Dequidt, Antoine, Dambrine, Michel
Format Journal Article
LanguageEnglish
Published Elsevier B.V 15.12.2017
Elsevier
Subjects
Actuator saturation
Automatic
Engineering Sciences
Linear matrix inequality
Parallel distributed compensation
Stability
Takagi–Sugeno fuzzy descriptor systems
Linear matrix inequality
Takagi–Sugeno fuzzy descriptor systems
Parallel distributed compensation
Stability
Actuator saturation
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Summary:The aim of this paper is to present a new framework for designing robust controllers for uncertain nonlinear systems described by Takagi–Sugeno fuzzy descriptor systems and subject to input and state constraints. For this, a novel structure of modified parallel distributed compensation control laws is proposed. The controller parameters can be obtained through the numerical resolution of an optimization problem with linear matrix inequality constraints derived from Lyapunov's stability theory and the choice of an original Lyapunov function. This ensures the stabilization of the closed-loop system and the respect of the state and input constraints regionally. The technique is illustrated through three numerical examples.
ISSN:0165-0114
1872-6801
DOI:10.1016/j.fss.2017.02.006