{"title":"一类分数阶随机Lorenz系统的混沌控制","authors":"Jing Hou, Shaojuan Ma","doi":"10.1109/IWCFTA.2012.58","DOIUrl":null,"url":null,"abstract":"This paper briefly introduce the chaos control in a class of fractional-order stochastic Lorenz system. The fractional-order Lorenz system with random parameter can be reduced to its equivalent deterministic one according to orthogonal polynomial approximation principle, and researched by linear feedback method. The numerical results show that this method used in a class of fractional-order stochastic Lorenz system is effective and feasible.","PeriodicalId":354870,"journal":{"name":"2012 Fifth International Workshop on Chaos-fractals Theories and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Chaos Control in a Class of Fractional-order Stochastic Lorenz System\",\"authors\":\"Jing Hou, Shaojuan Ma\",\"doi\":\"10.1109/IWCFTA.2012.58\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper briefly introduce the chaos control in a class of fractional-order stochastic Lorenz system. The fractional-order Lorenz system with random parameter can be reduced to its equivalent deterministic one according to orthogonal polynomial approximation principle, and researched by linear feedback method. The numerical results show that this method used in a class of fractional-order stochastic Lorenz system is effective and feasible.\",\"PeriodicalId\":354870,\"journal\":{\"name\":\"2012 Fifth International Workshop on Chaos-fractals Theories and Applications\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Fifth International Workshop on Chaos-fractals Theories and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWCFTA.2012.58\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Fifth International Workshop on Chaos-fractals Theories and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWCFTA.2012.58","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Chaos Control in a Class of Fractional-order Stochastic Lorenz System
This paper briefly introduce the chaos control in a class of fractional-order stochastic Lorenz system. The fractional-order Lorenz system with random parameter can be reduced to its equivalent deterministic one according to orthogonal polynomial approximation principle, and researched by linear feedback method. The numerical results show that this method used in a class of fractional-order stochastic Lorenz system is effective and feasible.