On the nonlinear output regulation for systems described by Takagi-Sugeno fuzzy descriptor models with a steady-state mapping as an LMI optimization problem

This paper is devoted to provide a numerical solution the nonlinear output regulation problem for descriptor systems. The control law under design is a nonlinear one, it consists on a nonlinear stabilizer combined with linear steady-state mapping as well as nonlinear steady-state input mapping; all...

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Detalhes bibliográficos
Autores: Poblete, Luis A., Hernández-Cortés , Tonatiuh, Estrada-Manzo, Víctor
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:México
Recursos:UNIVERSIDAD AUTÓNOMA DEL ESTADO DE HIDALGO
Repositorio:PÄDI Boletín Científico de Ciencias Básicas e Ingeniería del ICBI
Idioma:inglés
OAI Identifier:oai:repository.uaeh.edu.mx:article/7649
Acesso em linha:https://repository.uaeh.edu.mx/revistas/index.php/icbi/article/view/7649
Access Level:acceso abierto
Palavra-chave:Nonlinear Output Regulation
Descriptor System
Linear Matrix Inequality
Takagi-Sugeno Model
Diseño de regulador no lineal
sistema descriptor
desigualdad matricial lineal
modelo Takagi-Sugeno
Descrição
Resumo:This paper is devoted to provide a numerical solution the nonlinear output regulation problem for descriptor systems. The control law under design is a nonlinear one, it consists on a nonlinear stabilizer combined with linear steady-state mapping as well as nonlinear steady-state input mapping; all of them are computed via linear matrix inequalities. A numerical example as well as a mechanical system as well are used to illustrate the viability of the proposed approach.