{"title":"模糊分辨率对伺服调谐的影响","authors":"Q. Wu, C. D. de Silva","doi":"10.1109/CCA.1993.348303","DOIUrl":null,"url":null,"abstract":"Optimization of knowledge-based servo tuning requires consideration of several issues including the selection of the fuzzy resolution, the shape of the membership functions of fuzzy variables, and the level of overlapping between different fuzzy sets. This paper studies the effect of fuzzy resolutions on the processing speed, storage requirement, and response accuracy of a hierarchical fuzzy tuning system. First, some analytical results are given, and next experimental examples are presented. The responses from the experimental system with different fuzzy resolution are compared.<<ETX>>","PeriodicalId":276779,"journal":{"name":"Proceedings of IEEE International Conference on Control and Applications","volume":"103 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The effect of fuzzy resolution in servo tuning\",\"authors\":\"Q. Wu, C. D. de Silva\",\"doi\":\"10.1109/CCA.1993.348303\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Optimization of knowledge-based servo tuning requires consideration of several issues including the selection of the fuzzy resolution, the shape of the membership functions of fuzzy variables, and the level of overlapping between different fuzzy sets. This paper studies the effect of fuzzy resolutions on the processing speed, storage requirement, and response accuracy of a hierarchical fuzzy tuning system. First, some analytical results are given, and next experimental examples are presented. The responses from the experimental system with different fuzzy resolution are compared.<<ETX>>\",\"PeriodicalId\":276779,\"journal\":{\"name\":\"Proceedings of IEEE International Conference on Control and Applications\",\"volume\":\"103 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-09-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of IEEE International Conference on Control and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCA.1993.348303\",\"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 IEEE International Conference on Control and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCA.1993.348303","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimization of knowledge-based servo tuning requires consideration of several issues including the selection of the fuzzy resolution, the shape of the membership functions of fuzzy variables, and the level of overlapping between different fuzzy sets. This paper studies the effect of fuzzy resolutions on the processing speed, storage requirement, and response accuracy of a hierarchical fuzzy tuning system. First, some analytical results are given, and next experimental examples are presented. The responses from the experimental system with different fuzzy resolution are compared.<>
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