{"title":"一类非线性系统的模糊镇定控制","authors":"D. Krokavec, A. Filasová, V. Hladký","doi":"10.1109/SAMI.2012.6209021","DOIUrl":null,"url":null,"abstract":"The paper presents new conditions suitable in design of a stabilizing controller for a class of continuous-time nonlinear systems represented by Takagi-Sugeno models, and measurable premise variables. Based on an enhanced Lyapunov inequality, the conditions are outlined in the terms of linear matrix inequalities to possess a stable structure closest to optimal asymptotic properties. Simulation results illustrate the design procedure and demonstrate the basic performances of the proposed control design method.","PeriodicalId":158731,"journal":{"name":"2012 IEEE 10th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Stabilizing fuzzy control for a class of nonlinear systems\",\"authors\":\"D. Krokavec, A. Filasová, V. Hladký\",\"doi\":\"10.1109/SAMI.2012.6209021\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents new conditions suitable in design of a stabilizing controller for a class of continuous-time nonlinear systems represented by Takagi-Sugeno models, and measurable premise variables. Based on an enhanced Lyapunov inequality, the conditions are outlined in the terms of linear matrix inequalities to possess a stable structure closest to optimal asymptotic properties. Simulation results illustrate the design procedure and demonstrate the basic performances of the proposed control design method.\",\"PeriodicalId\":158731,\"journal\":{\"name\":\"2012 IEEE 10th International Symposium on Applied Machine Intelligence and Informatics (SAMI)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE 10th International Symposium on Applied Machine Intelligence and Informatics (SAMI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SAMI.2012.6209021\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 10th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAMI.2012.6209021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Stabilizing fuzzy control for a class of nonlinear systems
The paper presents new conditions suitable in design of a stabilizing controller for a class of continuous-time nonlinear systems represented by Takagi-Sugeno models, and measurable premise variables. Based on an enhanced Lyapunov inequality, the conditions are outlined in the terms of linear matrix inequalities to possess a stable structure closest to optimal asymptotic properties. Simulation results illustrate the design procedure and demonstrate the basic performances of the proposed control design method.