{"title":"采用离散能量分离算法对模糊控制DPLL进行遗传优化","authors":"S. Sarkar, Anasua Sarkar, B. Biswas, U. Maulik","doi":"10.1109/CMI.2016.7413723","DOIUrl":null,"url":null,"abstract":"In this paper a novel digital phase lock loop (DPLL) is introduced with Teager energy operator (TEO) incorporated discrete energy separation algorithm DESA2. The output of the DESA2 is controlled using genetic algorithm (GA) optimized fuzzy controller. The input and output membership functions are optimized using GA along with the input and output controller gains of the fuzzy controller. This kind of approach to design a DPLL is a new idea in the signal processing and DPLL design.","PeriodicalId":244262,"journal":{"name":"2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"GA optimized fuzzy controlled DPLL using discrete energy separation algorithm\",\"authors\":\"S. Sarkar, Anasua Sarkar, B. Biswas, U. Maulik\",\"doi\":\"10.1109/CMI.2016.7413723\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper a novel digital phase lock loop (DPLL) is introduced with Teager energy operator (TEO) incorporated discrete energy separation algorithm DESA2. The output of the DESA2 is controlled using genetic algorithm (GA) optimized fuzzy controller. The input and output membership functions are optimized using GA along with the input and output controller gains of the fuzzy controller. This kind of approach to design a DPLL is a new idea in the signal processing and DPLL design.\",\"PeriodicalId\":244262,\"journal\":{\"name\":\"2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-02-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CMI.2016.7413723\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CMI.2016.7413723","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
GA optimized fuzzy controlled DPLL using discrete energy separation algorithm
In this paper a novel digital phase lock loop (DPLL) is introduced with Teager energy operator (TEO) incorporated discrete energy separation algorithm DESA2. The output of the DESA2 is controlled using genetic algorithm (GA) optimized fuzzy controller. The input and output membership functions are optimized using GA along with the input and output controller gains of the fuzzy controller. This kind of approach to design a DPLL is a new idea in the signal processing and DPLL design.
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
