A novel polynomial membership functions based control method for T–S fuzzy systems
| dc.creator | Wen-Bo Xie | |
| dc.creator | Jian Zhang | |
| dc.creator | Yi-Fan Li | |
| dc.creator | Reinaldo Martinez Palhares | |
| dc.date.accessioned | 2025-06-23T13:43:05Z | |
| dc.date.accessioned | 2025-09-08T23:55:31Z | |
| dc.date.available | 2025-06-23T13:43:05Z | |
| dc.date.issued | 2022 | |
| dc.identifier.doi | 10.1016/j.isatra.2022.02.021 | |
| dc.identifier.issn | 00190578 | |
| dc.identifier.uri | https://hdl.handle.net/1843/83038 | |
| dc.language | por | |
| dc.publisher | Universidade Federal de Minas Gerais | |
| dc.relation.ispartof | ISA Transactions | |
| dc.rights | Acesso Restrito | |
| dc.subject | Sistemas difusos | |
| dc.subject | Matemática | |
| dc.subject.other | T–S fuzzy systems, Membership function, Polynomial approximation, Conservatism reduction | |
| dc.subject.other | Controle de Processos | |
| dc.subject.other | Inteligência Artificial | |
| dc.subject.other | Controle Fuzzy | |
| dc.subject.other | Membership approximating polynomials are changed into multi-dimensional linear form; SOS conditions are replaced by locally valid LMI conditions; Globally valid SOS method is avoided, stability conservatism is efficiently reduced | |
| dc.title | A novel polynomial membership functions based control method for T–S fuzzy systems | |
| dc.type | Artigo de periódico | |
| local.citation.epage | 203 | |
| local.citation.spage | 192 | |
| local.citation.volume | 129 | |
| local.description.resumo | To solve the state feedback stabilization problem for a class of T–S fuzzy systems, a new stability synthesis method is raised to further relax the conservatism existing in the analysis process. First, a series of nonlinear polynomials are used to approximate the system membership functions. And satisfied approximation results can be obtained. Then a polynomials transformation method is raised to change the polynomial membership functions into linear form. This method can facilitate the synthesis process and achieve better approximation precision. Therefore, by a membership function involving stability analysis approach, linear matrix inequality form stability conditions are given. Finally, by presenting and analyzing a numerical and a practical examples, the conservatism reduction effects of the proposed methods are verified. | |
| 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/S0019057822000805 |
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