Estimation-based control law for appproximating Takagi-Sugeno based controller

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dc.creatorThomas Laurain
dc.creatorJimmy Lauber
dc.creatorReinaldo Martinez Palhares
dc.date.accessioned2025-03-21T15:37:11Z
dc.date.accessioned2025-09-08T23:40:05Z
dc.date.available2025-03-21T15:37:11Z
dc.date.issued2016
dc.identifier.doi10.1109/AQTR.2016.7501326
dc.identifier.issn1844-7872
dc.identifier.urihttps://hdl.handle.net/1843/80824
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.rightsAcesso Restrito
dc.subjectControle automático
dc.subjectEstabilidade
dc.subjectCircuitos elétricos não-lineares
dc.subjectLiapunov, Funções de
dc.subject.otherControle
dc.subject.otherControle de Processos
dc.subject.otherIndústria 4.0
dc.subject.otherInteligência Artificial
dc.subject.otherInteligência Computacional
dc.subject.otherOptimal Control - Asymptotically Stable - Linear Matrix Inequalities
dc.subject.otherTransient Phase - Form Of Linear Matrix Inequalities - Estimation Error
dc.subject.otherSampling Time - Nonlinear Function - Nonlinear Systems
dc.subject.otherTuning Parameter - Closed-loop System - Membership Function
dc.subject.otherLyapunov Function - Internal Combustion Engine - Fuzzy Control
dc.subject.otherLinear Matrix Inequality Conditions - Discrete-time Domain
dc.titleEstimation-based control law for appproximating Takagi-Sugeno based controller
dc.typeArtigo de evento
local.citation.epage6
local.citation.spage1
local.description.resumoThis paper aims to manage the problem of matrix inversion in advanced Takagi-Sugeno-based controllers such as most of the non-Parallel Distributed Compensation. These controllers are difficult to use in embedded computers that have limited performances due to technologic resources. The originality of the proposed method is to use an observer written under the descriptor form for approximating the fuzzy matrix inversion. Thanks to such an observer, the advanced controller can be approximated in both steady and transient phases. Consequently, an Estimation-based Control Law for Approximating Takagi-Sugeno-based (ECLATS) controller is developed using Lyapunov stability analysis and Linear Matrix Inequalities formulation. This ECLATS controller can provide similar performances than the advanced fuzzy ones, but without any matrix inversion. Numerical examples prove the efficiency of the estimation by comparison.
local.publisher.countryBrasil
local.publisher.departmentENG - DEPARTAMENTO DE ENGENHARIA ELETRÔNICA
local.publisher.initialsUFMG
local.url.externahttps://ieeexplore.ieee.org/document/7501326

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