{"title":"基于T-S模糊模型的自主非线性系统脉冲控制","authors":"Xingwen Liu","doi":"10.1109/ICCCAS.2007.4348290","DOIUrl":null,"url":null,"abstract":"Based on their Takagi-Sugeno (T-S) fuzzy model, a new impulsive control method to control smooth nonlinear systems is proposed. The author gives a strict mathematical foundation containing some assumptions on which a nonlinear systems can be expressed as T-S fuzzy model and the followed analysis can proceed, and then proposes some methods and procedure for designing impulsive control laws, which can stabilize the original nonlinear system.","PeriodicalId":218351,"journal":{"name":"2007 International Conference on Communications, Circuits and Systems","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"T-S Fuzzy-Model-Based Impulsive Control of Autonomous Nonlinear Systems\",\"authors\":\"Xingwen Liu\",\"doi\":\"10.1109/ICCCAS.2007.4348290\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on their Takagi-Sugeno (T-S) fuzzy model, a new impulsive control method to control smooth nonlinear systems is proposed. The author gives a strict mathematical foundation containing some assumptions on which a nonlinear systems can be expressed as T-S fuzzy model and the followed analysis can proceed, and then proposes some methods and procedure for designing impulsive control laws, which can stabilize the original nonlinear system.\",\"PeriodicalId\":218351,\"journal\":{\"name\":\"2007 International Conference on Communications, Circuits and Systems\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 International Conference on Communications, Circuits and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCCAS.2007.4348290\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Conference on Communications, Circuits and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCAS.2007.4348290","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
T-S Fuzzy-Model-Based Impulsive Control of Autonomous Nonlinear Systems
Based on their Takagi-Sugeno (T-S) fuzzy model, a new impulsive control method to control smooth nonlinear systems is proposed. The author gives a strict mathematical foundation containing some assumptions on which a nonlinear systems can be expressed as T-S fuzzy model and the followed analysis can proceed, and then proposes some methods and procedure for designing impulsive control laws, which can stabilize the original nonlinear system.
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