Gain-scheduled H2 non-minimal order filtering design for linear parameter-varying discrete-time systems

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dc.creatorLuciano Antonio Frezzatto Santos
dc.creatorMauricio C. de Oliveira
dc.creatorRicardo C. L. F. Oliveira
dc.creatorPedro Luis Dias Peres
dc.date.accessioned2025-03-27T14:14:47Z
dc.date.accessioned2025-09-08T23:55:37Z
dc.date.available2025-03-27T14:14:47Z
dc.date.issued2017
dc.identifier.doihttp://https://doi.org/10.1016/j.ifacol.2017.08.1798
dc.identifier.issn2405-8963
dc.identifier.urihttps://hdl.handle.net/1843/80993
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartof20th IFAC World Congress
dc.rightsAcesso Restrito
dc.subjectSistemas lineares
dc.subjectSistemas de tempo discreto
dc.subject.otherLinear Parameter-Varying Systems
dc.subject.otherFiltering
dc.subject.otherGain-scheduled filter design
dc.subject.otherLinear matrix inequalities
dc.subject.otherH-2 norm
dc.subject.otherLinear Parameter-Varying Systems, Filtering, Gain-Scheduled Filter Design, Linear Matrix Inequalities, H-2 norm
dc.titleGain-scheduled H2 non-minimal order filtering design for linear parameter-varying discrete-time systems
dc.typeArtigo de evento
local.citation.epage11396
local.citation.spage11391
local.description.resumoThis paper addresses the problem of gain-scheduled filter design with guaranteed H2 performance for linear parameter-varying discrete-time systems with arbitrarily fast time-varying parameters. The filters to be designed have order greater than the order of the system being filtered. The design procedure is formulated in terms of Linear Matrix Inequalities. As is well known, gain-scheduled filters can provide superior performance for linear parameter-varying systems when compared with robust filters. The proposed non-minimal order H2 gain-scheduled filtering strategy can further improve the results by enlarging the structure of the filter. Examples illustrate the results, showing that larger order filters can have improved performance, providing lower guaranteed H2 costs when compared with other approaches based on full order filtering from the literature.
local.publisher.countryBrasil
local.publisher.departmentENG - DEPARTAMENTO DE ENGENHARIA ELETRÔNICA
local.publisher.initialsUFMG
local.url.externahttps://www.sciencedirect.com/science/article/pii/S2405896317324199

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