{"title":"备选模糊控制器逻辑","authors":"B. Schott, T. Whalen","doi":"10.1109/FUZZY.1994.343929","DOIUrl":null,"url":null,"abstract":"We compare six fuzzy logics used to control a simulated inverted pendulum \"plant\". Among the six is the standard \"Mamdani\" fuzzy logic. All systems contain eleven rules and are optimized for fuel economy. Mamdani's logic fares very well in the comparisons, but serious challengers are identified.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Alternative fuzzy controller logics\",\"authors\":\"B. Schott, T. Whalen\",\"doi\":\"10.1109/FUZZY.1994.343929\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We compare six fuzzy logics used to control a simulated inverted pendulum \\\"plant\\\". Among the six is the standard \\\"Mamdani\\\" fuzzy logic. All systems contain eleven rules and are optimized for fuel economy. Mamdani's logic fares very well in the comparisons, but serious challengers are identified.<<ETX>>\",\"PeriodicalId\":153967,\"journal\":{\"name\":\"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"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.1994.343929\",\"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.1994.343929","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We compare six fuzzy logics used to control a simulated inverted pendulum "plant". Among the six is the standard "Mamdani" fuzzy logic. All systems contain eleven rules and are optimized for fuel economy. Mamdani's logic fares very well in the comparisons, but serious challengers are identified.<>
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