{"title":"基于在线遗传优化的自协调多模控制系统","authors":"Qingwu Fan, Pu Wang, Huiqing Zhang, Junqian Liu","doi":"10.1109/ISDA.2006.6","DOIUrl":null,"url":null,"abstract":"In order to satisfy the requirements of higher accuracy and faster response of complex system, a control strategy with self-coordination multimode based on P control, fuzzy control, PI control and online genetic optimization is presented in this paper. The results of simulations show that this method improves not only the disturbance resistance, shortens the transition time, accelerates the dynamic response, but also has good anti-interference and disturbance. So this method has better use value","PeriodicalId":116729,"journal":{"name":"Sixth International Conference on Intelligent Systems Design and Applications","volume":"100 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Self-coordination Multimode Control System Based on on-line Genetic Optimization\",\"authors\":\"Qingwu Fan, Pu Wang, Huiqing Zhang, Junqian Liu\",\"doi\":\"10.1109/ISDA.2006.6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to satisfy the requirements of higher accuracy and faster response of complex system, a control strategy with self-coordination multimode based on P control, fuzzy control, PI control and online genetic optimization is presented in this paper. The results of simulations show that this method improves not only the disturbance resistance, shortens the transition time, accelerates the dynamic response, but also has good anti-interference and disturbance. So this method has better use value\",\"PeriodicalId\":116729,\"journal\":{\"name\":\"Sixth International Conference on Intelligent Systems Design and Applications\",\"volume\":\"100 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-10-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sixth International Conference on Intelligent Systems Design and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISDA.2006.6\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sixth International Conference on Intelligent Systems Design and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISDA.2006.6","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Self-coordination Multimode Control System Based on on-line Genetic Optimization
In order to satisfy the requirements of higher accuracy and faster response of complex system, a control strategy with self-coordination multimode based on P control, fuzzy control, PI control and online genetic optimization is presented in this paper. The results of simulations show that this method improves not only the disturbance resistance, shortens the transition time, accelerates the dynamic response, but also has good anti-interference and disturbance. So this method has better use value
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