Tien-Loc Le, Kim Long Ngo, Van Binh Ngo, Nguyen Vu Quynh, Sowmyanarayanan Murugan, Tran Van Thanh
{"title":"Self-evolving Multilayer Type-2 Fuzzy Controller Design For Time-Varying Delay Systems","authors":"Tien-Loc Le, Kim Long Ngo, Van Binh Ngo, Nguyen Vu Quynh, Sowmyanarayanan Murugan, Tran Van Thanh","doi":"10.1109/GTSD54989.2022.9989243","DOIUrl":null,"url":null,"abstract":"This study presents a design of the multilayer type-2 fuzzy controller (MT2FC) to control the time-varying delay systems. By using the proposed multilayer structure, the number of fuzzy rules can be reduced while ensuring good coverage of input states. The self-evolving algorithm is used to automatically obtain the optimal network structure. The network parameters are updated online using the gradient descent method. Finally, the performance of the proposed control method is illustrated by numerical simulations of the time-varying delay systems.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GTSD54989.2022.9989243","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This study presents a design of the multilayer type-2 fuzzy controller (MT2FC) to control the time-varying delay systems. By using the proposed multilayer structure, the number of fuzzy rules can be reduced while ensuring good coverage of input states. The self-evolving algorithm is used to automatically obtain the optimal network structure. The network parameters are updated online using the gradient descent method. Finally, the performance of the proposed control method is illustrated by numerical simulations of the time-varying delay systems.