The optimal fuzzy robust regulator for Takagi-Sugeno discrete-time systems

J. A. Meda-Campaña; B. Castillo-Toledo; A. Titli

doi:10.1109/isic.2003.1253945

The optimal fuzzy robust regulator for Takagi-Sugeno discrete-time systems

J. A. Meda-Campaña, B. Castillo-Toledo, A. Titli

Research output: Contribution to conference › Paper › peer-review

Abstract

The performance evaluation of a nonlinear discrete-time system was presented. The performance increase of the sytem was based on the combination of the robust regulator theory, Takagi-Sugeno fuzzy modelling and the linear quadratic techniques. In this regrad, an optimal fuzzy discrete-time robust regulator problem was defined. The conditions for the existance of a solution to the problem were presented in terms of linear matrix inequalities (LMI).

Original language	English
Pages	235-240
Number of pages	6
DOIs	https://doi.org/10.1109/isic.2003.1253945
State	Published - 2003
Externally published	Yes
Event	PROCEEDINGS of the 2003 IEEE INTERNATIONAL SYMPOSIUM on INTELLIGENT CONTROL - Houston, TX, United States Duration: 5 Oct 2003 → 8 Oct 2003

Conference

Conference	PROCEEDINGS of the 2003 IEEE INTERNATIONAL SYMPOSIUM on INTELLIGENT CONTROL
Country/Territory	United States
City	Houston, TX
Period	5/10/03 → 8/10/03

Keywords

Fuzzy systems
Linear matrix inequalities
Linear quadratic optimization
Nonlinear discrete systems
Regulation theory
Takagi-Sugeno modelling

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10.1109/isic.2003.1253945

Cite this

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AU - Titli, A.

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Y1 - 2003

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KW - Fuzzy systems

KW - Linear matrix inequalities

KW - Linear quadratic optimization

KW - Nonlinear discrete systems

KW - Regulation theory

KW - Takagi-Sugeno modelling

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M3 - Artículo

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Y2 - 5 October 2003 through 8 October 2003

ER -

The optimal fuzzy robust regulator for Takagi-Sugeno discrete-time systems

Abstract

Conference

Keywords

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