H-2 and H-infinity fuzzy filters with memory for Takagi-Sugeno discrete-time systems

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dc.creatorLuciano Antonio Frezzatto Santos
dc.creatorMárcio Júnior Lacerda
dc.creatorRicardo Oliveira
dc.creatorPedro Peres
dc.date.accessioned2025-05-13T14:39:41Z
dc.date.accessioned2025-09-08T23:01:59Z
dc.date.available2025-05-13T14:39:41Z
dc.date.issued2019
dc.identifier.doihttps://doi.org/10.1016/j.fss.2018.10.010
dc.identifier.issn0165-0114
dc.identifier.urihttps://hdl.handle.net/1843/82224
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofFuzzy sets and systems
dc.rightsAcesso Restrito
dc.subjectSistemas difusos
dc.subjectSistemas de tempo discreto
dc.subject.otherFuzzy filtering
dc.subject.otherFuzzy system models
dc.subject.otherH-infinity and H-2 performance
dc.subject.otherLinear matrix inequalities
dc.titleH-2 and H-infinity fuzzy filters with memory for Takagi-Sugeno discrete-time systems
dc.typeArtigo de periódico
local.citation.epage95
local.citation.spage78
local.citation.volume371
local.description.resumoThis paper is concerned with the problem of H-2 and H-infinity fuzzy filter design for Takagi-Sugeno (T-S) discrete-time systems. The novelty of the proposed method, in the context of T-S fuzzy systems, is the inclusion of an arbitrary number of past information (states and measurements) in the structure of the filter, producing a T-S fuzzy filter with memory. Linear matrix inequality relaxations based on multi-polynomial fuzzy Lyapunov functions are proposed for the filter design, providing filters that attain lower bounds for the H-2 and H-infinity performance criteria, when compared to other approaches available in the fuzzy literature that employ memoryless filters. The advantages of the proposed approach are illustrated by numerical examples. (C) 2018 Elsevier B.V. All rights reserved. (AU)
local.publisher.countryBrasil
local.publisher.departmentENG - DEPARTAMENTO DE ENGENHARIA ELETRÔNICA
local.publisher.initialsUFMG
local.url.externahttps://www.sciencedirect.com/science/article/pii/S0165011418307863?via%3Dihub

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