{"title":"大型非线性不确定系统的分散鲁棒自适应模糊控制器","authors":"Chiang-Cheng Chiang, Wen-Hao Wang","doi":"10.1109/FUZZ.2003.1209403","DOIUrl":null,"url":null,"abstract":"Based on the combination of the H/sup /spl infin// optimal control with fuzzy logic control and the simple adaptation laws, this paper presents a new and feasible design algorithm to synthesize a decentralized robust adaptive fuzzy controller which can easily tackle the output tracking control problem of large-scale nonlinear uncertain systems without the knowledge of the upper bounds on the norm of the uncertainties.","PeriodicalId":212172,"journal":{"name":"The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Decentralized robust adaptive fuzzy controller for large-scale nonlinear uncertain systems\",\"authors\":\"Chiang-Cheng Chiang, Wen-Hao Wang\",\"doi\":\"10.1109/FUZZ.2003.1209403\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the combination of the H/sup /spl infin// optimal control with fuzzy logic control and the simple adaptation laws, this paper presents a new and feasible design algorithm to synthesize a decentralized robust adaptive fuzzy controller which can easily tackle the output tracking control problem of large-scale nonlinear uncertain systems without the knowledge of the upper bounds on the norm of the uncertainties.\",\"PeriodicalId\":212172,\"journal\":{\"name\":\"The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.\",\"volume\":\"67 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-05-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FUZZ.2003.1209403\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FUZZ.2003.1209403","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Decentralized robust adaptive fuzzy controller for large-scale nonlinear uncertain systems
Based on the combination of the H/sup /spl infin// optimal control with fuzzy logic control and the simple adaptation laws, this paper presents a new and feasible design algorithm to synthesize a decentralized robust adaptive fuzzy controller which can easily tackle the output tracking control problem of large-scale nonlinear uncertain systems without the knowledge of the upper bounds on the norm of the uncertainties.