{"title":"遗传算法优化了基于忆阻器的混沌电路的混沌时滞反馈控制","authors":"S. Saini, J. Saini","doi":"10.1109/CIES.2014.7011834","DOIUrl":null,"url":null,"abstract":"Chaotic state of a nonlinear system may be harmful due to its extreme sensitivity to initial conditions and irregularity in behavior. This paper addresses the problem of controlling chaos in a memristor based chaotic circuit using time delayed feedback method. Genetic algorithm has been used as a search tool to optimize the feedback path gain. Extensive computer simulations demonstrate that successful chaos control can be achieved by using this scheme, leading the system's chaotic state towards a fixed point or sustained oscillations depending on the range of feedback gain values.","PeriodicalId":287779,"journal":{"name":"2014 IEEE Symposium on Computational Intelligence for Engineering Solutions (CIES)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"GA optimized time delayed feedback control of chaos in a memristor based chaotic circuit\",\"authors\":\"S. Saini, J. Saini\",\"doi\":\"10.1109/CIES.2014.7011834\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Chaotic state of a nonlinear system may be harmful due to its extreme sensitivity to initial conditions and irregularity in behavior. This paper addresses the problem of controlling chaos in a memristor based chaotic circuit using time delayed feedback method. Genetic algorithm has been used as a search tool to optimize the feedback path gain. Extensive computer simulations demonstrate that successful chaos control can be achieved by using this scheme, leading the system's chaotic state towards a fixed point or sustained oscillations depending on the range of feedback gain values.\",\"PeriodicalId\":287779,\"journal\":{\"name\":\"2014 IEEE Symposium on Computational Intelligence for Engineering Solutions (CIES)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE Symposium on Computational Intelligence for Engineering Solutions (CIES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIES.2014.7011834\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Symposium on Computational Intelligence for Engineering Solutions (CIES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIES.2014.7011834","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
GA optimized time delayed feedback control of chaos in a memristor based chaotic circuit
Chaotic state of a nonlinear system may be harmful due to its extreme sensitivity to initial conditions and irregularity in behavior. This paper addresses the problem of controlling chaos in a memristor based chaotic circuit using time delayed feedback method. Genetic algorithm has been used as a search tool to optimize the feedback path gain. Extensive computer simulations demonstrate that successful chaos control can be achieved by using this scheme, leading the system's chaotic state towards a fixed point or sustained oscillations depending on the range of feedback gain values.
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