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

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

Resultado de la investigación: Contribución a una conferenciaArtículo

Resumen

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).

Idioma originalInglés
Páginas235-240
Número de páginas6
EstadoPublicada - 16 dic 2003
EventoPROCEEDINGS of the 2003 IEEE INTERNATIONAL SYMPOSIUM on INTELLIGENT CONTROL - Houston, TX, Estados Unidos
Duración: 5 oct 20038 oct 2003

Otros

OtrosPROCEEDINGS of the 2003 IEEE INTERNATIONAL SYMPOSIUM on INTELLIGENT CONTROL
PaísEstados Unidos
CiudadHouston, TX
Período5/10/038/10/03

Huella dactilar

Discrete-time Systems
Linear matrix inequalities
Regulator
Nonlinear Discrete-time Systems
Fuzzy Modeling
Performance Evaluation
Matrix Inequality
Linear Inequalities
Discrete-time

Citar esto

Meda-Campaña, J. A., Castillo Toledo, B., & Titli, A. (2003). The optimal fuzzy robust regulator for Takagi-Sugeno discrete-time systems. 235-240. Papel presentado en PROCEEDINGS of the 2003 IEEE INTERNATIONAL SYMPOSIUM on INTELLIGENT CONTROL, Houston, TX, Estados Unidos.
Meda-Campaña, J. A. ; Castillo Toledo, Bernardino ; Titli, A. / The optimal fuzzy robust regulator for Takagi-Sugeno discrete-time systems. Papel presentado en PROCEEDINGS of the 2003 IEEE INTERNATIONAL SYMPOSIUM on INTELLIGENT CONTROL, Houston, TX, Estados Unidos.6 p.
@conference{d1d90dcbcedc4032a10915d6a0fa8dea,
title = "The optimal fuzzy robust regulator for Takagi-Sugeno discrete-time systems",
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).",
keywords = "Fuzzy systems, Linear matrix inequalities, Linear quadratic optimization, Nonlinear discrete systems, Regulation theory, Takagi-Sugeno modelling",
author = "Meda-Campa{\~n}a, {J. A.} and {Castillo Toledo}, Bernardino and A. Titli",
year = "2003",
month = "12",
day = "16",
language = "Ingl{\'e}s",
pages = "235--240",
note = "null ; Conference date: 05-10-2003 Through 08-10-2003",

}

Meda-Campaña, JA, Castillo Toledo, B & Titli, A 2003, 'The optimal fuzzy robust regulator for Takagi-Sugeno discrete-time systems', Papel presentado en PROCEEDINGS of the 2003 IEEE INTERNATIONAL SYMPOSIUM on INTELLIGENT CONTROL, Houston, TX, Estados Unidos, 5/10/03 - 8/10/03 pp. 235-240.

The optimal fuzzy robust regulator for Takagi-Sugeno discrete-time systems. / Meda-Campaña, J. A.; Castillo Toledo, Bernardino; Titli, A.

2003. 235-240 Papel presentado en PROCEEDINGS of the 2003 IEEE INTERNATIONAL SYMPOSIUM on INTELLIGENT CONTROL, Houston, TX, Estados Unidos.

Resultado de la investigación: Contribución a una conferenciaArtículo

TY - CONF

T1 - The optimal fuzzy robust regulator for Takagi-Sugeno discrete-time systems

AU - Meda-Campaña, J. A.

AU - Castillo Toledo, Bernardino

AU - Titli, A.

PY - 2003/12/16

Y1 - 2003/12/16

N2 - 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).

AB - 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).

KW - Fuzzy systems

KW - Linear matrix inequalities

KW - Linear quadratic optimization

KW - Nonlinear discrete systems

KW - Regulation theory

KW - Takagi-Sugeno modelling

UR - http://www.scopus.com/inward/record.url?scp=0344666472&partnerID=8YFLogxK

M3 - Artículo

AN - SCOPUS:0344666472

SP - 235

EP - 240

ER -

Meda-Campaña JA, Castillo Toledo B, Titli A. The optimal fuzzy robust regulator for Takagi-Sugeno discrete-time systems. 2003. Papel presentado en PROCEEDINGS of the 2003 IEEE INTERNATIONAL SYMPOSIUM on INTELLIGENT CONTROL, Houston, TX, Estados Unidos.