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Mostrando ítems 171-180 de 334
Controle chaveado de sistemas com incertezas utilizando otimizadores não derivativos
(Universidade Estadual Paulista (Unesp), 2020-02-06)
Nesta tese, utiliza-se um otimizador analógico não derivativo proposto por Teixeira & Żak em 1999 como principal ferramenta para os sistemas de controle dos projetos desenvolvidos. Tal otimizador é composto por blocos não ...
Realimentação de estados baseada em regras fuzzy tipo-2 para servocontrole de sistemas não lineares
(BrasilUFRNPROGRAMA DE PÓS-GRADUAÇÃO EM ENGENHARIA ELÉTRICA E DE COMPUTAÇÃO, 2019-12-09)
Many researches use Takagi-Sugeno fuzzy models to accurately represent
nonlinear dynamic systems. However, Takagi-Sugeno fuzzy makes the
implementation of fuzzy controller more complex as system order and
nonlinearities ...
On relaxed LMI-based design for fuzzy controllers
(IEEE, 2014)
Development of a Predictive Control Based on Takagi-Sugeno Model Applied in a Nonlinear System of Industrial Refrigeration
(2017)
© 2017, Copyright © Taylor & Francis Group, LLC.Refrigeration systems exist in different branches of industry and are characterized as great energy consumers with considerable nonlinear behavior. Several studies have ...
A comparative study between two relaxed LMI-based fuzzy control designs
(2005-09-01)
A comparative study, with theoretical analysis and digital simulations, of two conditions based on LMI for the quadratic stability of nonlinear continuous-time dynamic systems, described by Takagi-Sugeno fuzzy models, are ...
A comparative study between two relaxed LMI-based fuzzy control designs
(2005-09-01)
A comparative study, with theoretical analysis and digital simulations, of two conditions based on LMI for the quadratic stability of nonlinear continuous-time dynamic systems, described by Takagi-Sugeno fuzzy models, are ...
Técnica de projeto de controlador fuzzy aplicada ao acionamento vetorial de motor de indução
(Universidade Federal do ParáBrasilInstituto de TecnologiaUFPAPrograma de Pós-Graduação em Engenharia Elétrica, 2013)
Efficient parametric adjustment of fuzzy inference system using unconstrained optimization
(2007-12-01)
This paper presents a new methodology for the adjustment of fuzzy inference systems, which uses technique based on error back-propagation method. The free parameters of the fuzzy inference system, such as its intrinsic ...