{"title":"关于最小模糊逻辑算法的考虑","authors":"Cristina Vatavu","doi":"10.1109/ICEPE.2018.8559853","DOIUrl":null,"url":null,"abstract":"The need to reduce memory and processing power requirements in order to achieve implementations of dedicated structures with satisfying settling times for any type of process has lead to the development of the fuzzy logic minimal control algorithm. A minimal approach is applied to all three components: fuzzification, decision and defuzzification interface levels. The obtained algorithm has a normalized, and thus versatile, structure. In these conditions its evaluation consists of the analysis of the performance of a control system obtained by varying the parameters (amplifying factors) of the minimal algorithm.","PeriodicalId":343896,"journal":{"name":"2018 International Conference and Exposition on Electrical And Power Engineering (EPE)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Considerations Regarding Minimal Fuzzy Logic Algorithms\",\"authors\":\"Cristina Vatavu\",\"doi\":\"10.1109/ICEPE.2018.8559853\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The need to reduce memory and processing power requirements in order to achieve implementations of dedicated structures with satisfying settling times for any type of process has lead to the development of the fuzzy logic minimal control algorithm. A minimal approach is applied to all three components: fuzzification, decision and defuzzification interface levels. The obtained algorithm has a normalized, and thus versatile, structure. In these conditions its evaluation consists of the analysis of the performance of a control system obtained by varying the parameters (amplifying factors) of the minimal algorithm.\",\"PeriodicalId\":343896,\"journal\":{\"name\":\"2018 International Conference and Exposition on Electrical And Power Engineering (EPE)\",\"volume\":\"125 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference and Exposition on Electrical And Power Engineering (EPE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEPE.2018.8559853\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference and Exposition on Electrical And Power Engineering (EPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEPE.2018.8559853","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The need to reduce memory and processing power requirements in order to achieve implementations of dedicated structures with satisfying settling times for any type of process has lead to the development of the fuzzy logic minimal control algorithm. A minimal approach is applied to all three components: fuzzification, decision and defuzzification interface levels. The obtained algorithm has a normalized, and thus versatile, structure. In these conditions its evaluation consists of the analysis of the performance of a control system obtained by varying the parameters (amplifying factors) of the minimal algorithm.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
