Output feedback control of Takagi-Sugeno fuzzy systems with unmeasured nonlinearities via a local separation principle
| dc.creator | Anh-Tu Nguyen | |
| dc.creator | Pedro Henrique Silva Coutinho | |
| dc.creator | Márcia Luciana da Costa Peixoto | |
| dc.creator | Thierry-Marie Guerra | |
| dc.creator | Reinaldo Martinez Palhares | |
| dc.date.accessioned | 2025-06-02T12:16:42Z | |
| dc.date.accessioned | 2025-09-08T22:48:46Z | |
| dc.date.available | 2025-06-02T12:16:42Z | |
| dc.date.issued | 2023 | |
| dc.identifier.doi | https://doi.org/10.1016/j.ifacol.2023.10.1122 | |
| dc.identifier.uri | https://hdl.handle.net/1843/82682 | |
| dc.language | eng | |
| dc.publisher | Universidade Federal de Minas Gerais | |
| dc.relation.ispartof | 22nd IFAC World Congress | |
| dc.rights | Acesso Restrito | |
| dc.subject | Sistemas difusos | |
| dc.subject | Matemática | |
| dc.subject.other | Takagi-Sugeno fuzzy systems, observer-based fuzzy control, separation principle, unmeasured premise variables, linear matrix inequality | |
| dc.subject.other | Controle de Processos | |
| dc.subject.other | Controle de Sistemas Não-Lineares | |
| dc.subject.other | Controle Fuzzy | |
| dc.subject.other | Indústria 5.0 | |
| dc.subject.other | Inteligência Artificial | |
| dc.title | Output feedback control of Takagi-Sugeno fuzzy systems with unmeasured nonlinearities via a local separation principle | |
| dc.type | Artigo de evento | |
| local.citation.epage | 6 | |
| local.citation.spage | 1 | |
| local.description.resumo | This paper presents a fuzzy observer-based control framework for TS fuzzy models with nonlinear consequents (N-TS). The N-TS fuzzy model is constructed such that only measured nonlinearities are considered to obtain the fuzzy membership functions, and all unmeasured nonlinearities are modeled as local consequent parts. Based on the differential mean value theorem, the closed-loop system is rewritten in an adequate format, which allows proving the separation principle for asymptotic TS fuzzy observer-based control design. Sufficient design conditions, expressed in terms of linear matrix inequalities, are derived via delayed nonquadratic Lyapunov functions for the synthesis of both stabilizing fuzzy controller and Luenberger-like fuzzy observer. Using Lyapunov-based arguments of a local separation principle, a constructive procedure is provided to maximize the closed-loop domain of attraction (DoA) estimation, which is guaranteed to be included inside the predefined fuzzy modeling region. Numerical examples are given to illustrate the effectiveness of the proposed approach. | |
| local.publisher.country | Brasil | |
| local.publisher.department | ENG - DEPARTAMENTO DE ENGENHARIA ELETRÔNICA | |
| local.publisher.initials | UFMG | |
| local.url.externa | https://www.sciencedirect.com/science/article/pii/S2405896323015252 |
Arquivos
Licença do pacote
1 - 1 de 1