{"title":"基于竞争协同进化的鲁棒非线性控制设计","authors":"J. Claverie, K. D. Jong, A. Sheta","doi":"10.1109/CEC.2000.870324","DOIUrl":null,"url":null,"abstract":"A novel approach to design robust nonlinear control laws for dynamic systems that are not in canonical form or unknown is introduced. A competitive coevolutionary algorithm is used to design a sliding mode controller based on an approximate model of both the system and uncertainties. The power of evolutionary computation leads to a systematic convergence on accurate nominal model based controllers and the use of competitive coevolution offers a new method to handle model uncertainties with a sliding control structure.","PeriodicalId":218136,"journal":{"name":"Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Robust nonlinear control design using competitive coevolution\",\"authors\":\"J. Claverie, K. D. Jong, A. Sheta\",\"doi\":\"10.1109/CEC.2000.870324\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A novel approach to design robust nonlinear control laws for dynamic systems that are not in canonical form or unknown is introduced. A competitive coevolutionary algorithm is used to design a sliding mode controller based on an approximate model of both the system and uncertainties. The power of evolutionary computation leads to a systematic convergence on accurate nominal model based controllers and the use of competitive coevolution offers a new method to handle model uncertainties with a sliding control structure.\",\"PeriodicalId\":218136,\"journal\":{\"name\":\"Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-07-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CEC.2000.870324\",\"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 the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEC.2000.870324","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Robust nonlinear control design using competitive coevolution
A novel approach to design robust nonlinear control laws for dynamic systems that are not in canonical form or unknown is introduced. A competitive coevolutionary algorithm is used to design a sliding mode controller based on an approximate model of both the system and uncertainties. The power of evolutionary computation leads to a systematic convergence on accurate nominal model based controllers and the use of competitive coevolution offers a new method to handle model uncertainties with a sliding control structure.