New Stabilization Conditions for Fuzzy-Based Sampled-Data Control Systems Using a Fuzzy Lyapunov Functional

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Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorComputer Engineering Course Coordination (COENC)-
Autor(es): dc.creatorOncoy, Dante J. S.-
Autor(es): dc.creatorCardim, Rodrigo-
Autor(es): dc.creatorTeixeira, Marcelo C. M.-
Autor(es): dc.creatorFaria, Flavio A.-
Autor(es): dc.creatorAssuncao, Edvaldo-
Autor(es): dc.creatorLazarini, Adalberto Z. N.-
Data de aceite: dc.date.accessioned2025-08-21T23:37:39Z-
Data de disponibilização: dc.date.available2025-08-21T23:37:39Z-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2022-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/ACCESS.2023.3245026-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/249714-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/249714-
Descrição: dc.descriptionThis paper focuses on the stabilization problem of Takagi-Sugeno fuzzy systems via a sampled-data controller using a fuzzy dependent functional. By employing a property of convex combination, a new approach to deal with the time derivatives of the fuzzy membership functions (FMFs) in the stabilization conditions is proposed, and less conservative conditions are derived in the form of linear matrix inequalities (LMIs). Moreover, the proposed approach introduces a switching function which opens up possibilities to use a switched controller and take advantage of its benefits well known in the literature. Therefore, two sampled-data control strategies are proposed, where the first one is a fuzzy controller and the second is a robust switched controller, that does not require the expressions of the FMFs to implement the control law, which guarantees the robustness of the controlled system in cases where the FMFs depend on uncertain parameters. Finally, the effectiveness of the proposed strategies is verified by two examples.-
Descrição: dc.descriptionSão Paulo State University (UNESP) Department of Electrical Engineering-
Descrição: dc.descriptionSão Paulo State University (UNESP) School of Engineering Department of Mathematics-
Descrição: dc.descriptionFederal University of Technology-Paraná (UTFPR) Computer Engineering Course Coordination (COENC), PR-
Descrição: dc.descriptionSão Paulo State University (UNESP) Department of Electrical Engineering-
Descrição: dc.descriptionSão Paulo State University (UNESP) School of Engineering Department of Mathematics-
Formato: dc.format15390-15403-
Idioma: dc.languageen-
Relação: dc.relationIEEE Access-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectfuzzy dependent Lyapunov-Krasovskii functional-
Palavras-chave: dc.subjectlinear matrix inequalities (LMIs)-
Palavras-chave: dc.subjectswitched sampled-data control-
Palavras-chave: dc.subjectTakagi-sugeno (T-S) fuzzy systems-
Título: dc.titleNew Stabilization Conditions for Fuzzy-Based Sampled-Data Control Systems Using a Fuzzy Lyapunov Functional-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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