{"title":"由混沌逻辑映射得到的连续时滞混沌系统","authors":"Leonardo Acho Zuppa","doi":"10.2316/P.2017.848-001","DOIUrl":null,"url":null,"abstract":"This paper presents a procedure to transform a chaotic logistic map into a continuous-time delay chaotic system by using sampled-data representation of continuous-time models. Because of this, the chaotic behavior of the resultant scheme is easy to proofread. A numerical illustration is also realized by utilizing Matlab/Simulink, where the new resultant chaotic attractor is shown","PeriodicalId":49801,"journal":{"name":"Modeling Identification and Control","volume":"2 1","pages":"147-150"},"PeriodicalIF":0.7000,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"A continuous-time delay chaotic system obtained from a chaotic logistic map\",\"authors\":\"Leonardo Acho Zuppa\",\"doi\":\"10.2316/P.2017.848-001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a procedure to transform a chaotic logistic map into a continuous-time delay chaotic system by using sampled-data representation of continuous-time models. Because of this, the chaotic behavior of the resultant scheme is easy to proofread. A numerical illustration is also realized by utilizing Matlab/Simulink, where the new resultant chaotic attractor is shown\",\"PeriodicalId\":49801,\"journal\":{\"name\":\"Modeling Identification and Control\",\"volume\":\"2 1\",\"pages\":\"147-150\"},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2017-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Modeling Identification and Control\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.2316/P.2017.848-001\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Modeling Identification and Control","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.2316/P.2017.848-001","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
A continuous-time delay chaotic system obtained from a chaotic logistic map
This paper presents a procedure to transform a chaotic logistic map into a continuous-time delay chaotic system by using sampled-data representation of continuous-time models. Because of this, the chaotic behavior of the resultant scheme is easy to proofread. A numerical illustration is also realized by utilizing Matlab/Simulink, where the new resultant chaotic attractor is shown
期刊介绍:
The aim of MIC is to present Nordic research activities in the field of modeling, identification and control to the international scientific community. Historically, the articles published in MIC presented the results of research carried out in Norway, or sponsored primarily by a Norwegian institution. Since 2009 the journal also accepts papers from the other Nordic countries.