{"title":"Fuzzy model reference control using type-2 fuzzy systems in adaptation mechanism","authors":"Otto Cerman, P. Hušek","doi":"10.1109/SIBCON.2011.6072583","DOIUrl":null,"url":null,"abstract":"In this paper different approach to adaptation mechanism for fuzzy model reference learning control (FMRLC) method will be introduced. In comparison to original method the proposed procedure shows larger possibilities in design of FMRLC method. The main idea consists in new approach of design of the inverse model — an important part of FMRLC. This innovation is based on using more general fuzzy system in the inverse model, type-2 fuzzy system. Type-2 fuzzy systems are superior to classical fuzzy systems. From this reason using such systems in adaptation mechanism brings new possibilities. The advantages of the proposed modification are presented on control of magnetic suspension system and compared to FMRLC with convergent rule base.","PeriodicalId":169606,"journal":{"name":"2011 International Siberian Conference on Control and Communications (SIBCON)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Siberian Conference on Control and Communications (SIBCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIBCON.2011.6072583","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
In this paper different approach to adaptation mechanism for fuzzy model reference learning control (FMRLC) method will be introduced. In comparison to original method the proposed procedure shows larger possibilities in design of FMRLC method. The main idea consists in new approach of design of the inverse model — an important part of FMRLC. This innovation is based on using more general fuzzy system in the inverse model, type-2 fuzzy system. Type-2 fuzzy systems are superior to classical fuzzy systems. From this reason using such systems in adaptation mechanism brings new possibilities. The advantages of the proposed modification are presented on control of magnetic suspension system and compared to FMRLC with convergent rule base.
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