{"title":"在模糊控制器设计中引入细胞图信息","authors":"He Hu, H. Tai, S. Shenoi","doi":"10.1109/FUZZY.1994.343665","DOIUrl":null,"url":null,"abstract":"Cell mapping is a powerful mechanism for evaluating the global behavior of nonlinear dynamical systems. A cell map conveys direct information about system dynamics, including the regions of stability, the set of controllable initial states and system trajectories. This paper shows how cell map information can be incorporated in a genetic algorithm for tuning fuzzy controller parameters. The resulting fuzzy controller exhibits superior performance to controllers designed using conventional techniques. It has near time-optimal characteristics with maximal stability and controllability.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":"{\"title\":\"Incorporating cell map information in fuzzy controller design\",\"authors\":\"He Hu, H. Tai, S. Shenoi\",\"doi\":\"10.1109/FUZZY.1994.343665\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cell mapping is a powerful mechanism for evaluating the global behavior of nonlinear dynamical systems. A cell map conveys direct information about system dynamics, including the regions of stability, the set of controllable initial states and system trajectories. This paper shows how cell map information can be incorporated in a genetic algorithm for tuning fuzzy controller parameters. The resulting fuzzy controller exhibits superior performance to controllers designed using conventional techniques. It has near time-optimal characteristics with maximal stability and controllability.<<ETX>>\",\"PeriodicalId\":153967,\"journal\":{\"name\":\"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"26\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FUZZY.1994.343665\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FUZZY.1994.343665","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Incorporating cell map information in fuzzy controller design
Cell mapping is a powerful mechanism for evaluating the global behavior of nonlinear dynamical systems. A cell map conveys direct information about system dynamics, including the regions of stability, the set of controllable initial states and system trajectories. This paper shows how cell map information can be incorporated in a genetic algorithm for tuning fuzzy controller parameters. The resulting fuzzy controller exhibits superior performance to controllers designed using conventional techniques. It has near time-optimal characteristics with maximal stability and controllability.<>
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