{"title":"模糊控制器的域变换","authors":"J. Donato, E. Barbieri","doi":"10.1109/SSST.1996.493471","DOIUrl":null,"url":null,"abstract":"This paper presents a fuzzy domain transformation to simplify membership functions for both the fuzzification stage as well as for inference. The goal is to minimize the number of computations or components required for a fuzzy controller. This can also be used for hybrid digital/analog or all-analog fuzzy controllers. In the process, the three basic logical operations of the inference engine are redefined in a new, simpler domain without altering the behavior of the fuzzy controller. Graphical examples of the transformation are provided.","PeriodicalId":135973,"journal":{"name":"Proceedings of 28th Southeastern Symposium on System Theory","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1996-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Domain transformation for fuzzy controllers\",\"authors\":\"J. Donato, E. Barbieri\",\"doi\":\"10.1109/SSST.1996.493471\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a fuzzy domain transformation to simplify membership functions for both the fuzzification stage as well as for inference. The goal is to minimize the number of computations or components required for a fuzzy controller. This can also be used for hybrid digital/analog or all-analog fuzzy controllers. In the process, the three basic logical operations of the inference engine are redefined in a new, simpler domain without altering the behavior of the fuzzy controller. Graphical examples of the transformation are provided.\",\"PeriodicalId\":135973,\"journal\":{\"name\":\"Proceedings of 28th Southeastern Symposium on System Theory\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-03-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 28th Southeastern Symposium on System Theory\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SSST.1996.493471\",\"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 28th Southeastern Symposium on System Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSST.1996.493471","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents a fuzzy domain transformation to simplify membership functions for both the fuzzification stage as well as for inference. The goal is to minimize the number of computations or components required for a fuzzy controller. This can also be used for hybrid digital/analog or all-analog fuzzy controllers. In the process, the three basic logical operations of the inference engine are redefined in a new, simpler domain without altering the behavior of the fuzzy controller. Graphical examples of the transformation are provided.
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