{"title":"基于混沌蚁群算法的控制系统参数识别","authors":"Zhuzhi Jia, Hong-yu Zhu, Wan-sheng Cheng","doi":"10.1109/ICECE.2010.1307","DOIUrl":null,"url":null,"abstract":"Chaotic ant swarm algorithm is a novel optimization method, which has the ability of global optimum search. In this paper, a new chaotic ant swarm algorithm was used to identify the parameters for control systems. First the problem of parameter estimation of the control system is converted to a problem of parameter optimization which could be solved via chaotic ant swarm algorithm. Chaotic ant swarm algorithm has the ability of global optimum search. A numerical simulation on the well-known control system is conducted. Simulation results show that the proposed method is effective in parameter estimation of the control system.","PeriodicalId":6419,"journal":{"name":"2010 International Conference on Electrical and Control Engineering","volume":"104 1","pages":"5384-5387"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Parameter Recognition for Control Systems Based on Chaotic Ant Swarm Algorithm\",\"authors\":\"Zhuzhi Jia, Hong-yu Zhu, Wan-sheng Cheng\",\"doi\":\"10.1109/ICECE.2010.1307\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Chaotic ant swarm algorithm is a novel optimization method, which has the ability of global optimum search. In this paper, a new chaotic ant swarm algorithm was used to identify the parameters for control systems. First the problem of parameter estimation of the control system is converted to a problem of parameter optimization which could be solved via chaotic ant swarm algorithm. Chaotic ant swarm algorithm has the ability of global optimum search. A numerical simulation on the well-known control system is conducted. Simulation results show that the proposed method is effective in parameter estimation of the control system.\",\"PeriodicalId\":6419,\"journal\":{\"name\":\"2010 International Conference on Electrical and Control Engineering\",\"volume\":\"104 1\",\"pages\":\"5384-5387\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Electrical and Control Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICECE.2010.1307\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Electrical and Control Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECE.2010.1307","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Parameter Recognition for Control Systems Based on Chaotic Ant Swarm Algorithm
Chaotic ant swarm algorithm is a novel optimization method, which has the ability of global optimum search. In this paper, a new chaotic ant swarm algorithm was used to identify the parameters for control systems. First the problem of parameter estimation of the control system is converted to a problem of parameter optimization which could be solved via chaotic ant swarm algorithm. Chaotic ant swarm algorithm has the ability of global optimum search. A numerical simulation on the well-known control system is conducted. Simulation results show that the proposed method is effective in parameter estimation of the control system.
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