{"title":"余四翼系统广义投影同步的自适应控制器设计","authors":"S. Vaidyanathan, S. Pakiriswamy","doi":"10.1109/ICCIC.2014.7238379","DOIUrl":null,"url":null,"abstract":"Synchronization of different types, especially generalized projective synchronization, control and regulation of chaotic systems are important areas of research in the control literature and various methods have been adopted for these research problems. Also, the discovery of multi-scroll chaotic systems in various applications, and the control of such systems are important research areas in chaos theory. Yu four-wing chaotic system (2011) is a novel 4-D chaotic system with a positive Lyapunov exponent. This paper with the help of adaptive control design derives new results for the GPS of Yu four-wing chaotic systems when there is no knowledge of system parameters. MATLAB simulations have been shown to demonstrate the adaptive GPS results derived for the Yu four-wing chaotic systems.","PeriodicalId":187874,"journal":{"name":"2014 IEEE International Conference on Computational Intelligence and Computing Research","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Adaptive controller design for the generalized projective synchronization of Yu Four-Wing systems\",\"authors\":\"S. Vaidyanathan, S. Pakiriswamy\",\"doi\":\"10.1109/ICCIC.2014.7238379\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Synchronization of different types, especially generalized projective synchronization, control and regulation of chaotic systems are important areas of research in the control literature and various methods have been adopted for these research problems. Also, the discovery of multi-scroll chaotic systems in various applications, and the control of such systems are important research areas in chaos theory. Yu four-wing chaotic system (2011) is a novel 4-D chaotic system with a positive Lyapunov exponent. This paper with the help of adaptive control design derives new results for the GPS of Yu four-wing chaotic systems when there is no knowledge of system parameters. MATLAB simulations have been shown to demonstrate the adaptive GPS results derived for the Yu four-wing chaotic systems.\",\"PeriodicalId\":187874,\"journal\":{\"name\":\"2014 IEEE International Conference on Computational Intelligence and Computing Research\",\"volume\":\"61 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE International Conference on Computational Intelligence and Computing Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCIC.2014.7238379\",\"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 International Conference on Computational Intelligence and Computing Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIC.2014.7238379","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive controller design for the generalized projective synchronization of Yu Four-Wing systems
Synchronization of different types, especially generalized projective synchronization, control and regulation of chaotic systems are important areas of research in the control literature and various methods have been adopted for these research problems. Also, the discovery of multi-scroll chaotic systems in various applications, and the control of such systems are important research areas in chaos theory. Yu four-wing chaotic system (2011) is a novel 4-D chaotic system with a positive Lyapunov exponent. This paper with the help of adaptive control design derives new results for the GPS of Yu four-wing chaotic systems when there is no knowledge of system parameters. MATLAB simulations have been shown to demonstrate the adaptive GPS results derived for the Yu four-wing chaotic systems.