{"title":"混沌或超混沌系统的广义同步与参数辨识","authors":"Chunlai Li, Y. Tong","doi":"10.1109/ISA.2011.5873303","DOIUrl":null,"url":null,"abstract":"Based on the Lyapunov stability theory, general nonlinear controllers and parameter identifiers are designed to achieve generalized synchronization and parameter identification of chaotic or hyperchaotic systems. The proposed synchronization scheme is robust to the external disturbances. Numerical simulations results are presented to demonstrate the effectiveness of the method.","PeriodicalId":128163,"journal":{"name":"2011 3rd International Workshop on Intelligent Systems and Applications","volume":"134 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Generalized Synchronization and Parameter Identification of Chaotic or Hyperchaotic Systems\",\"authors\":\"Chunlai Li, Y. Tong\",\"doi\":\"10.1109/ISA.2011.5873303\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the Lyapunov stability theory, general nonlinear controllers and parameter identifiers are designed to achieve generalized synchronization and parameter identification of chaotic or hyperchaotic systems. The proposed synchronization scheme is robust to the external disturbances. Numerical simulations results are presented to demonstrate the effectiveness of the method.\",\"PeriodicalId\":128163,\"journal\":{\"name\":\"2011 3rd International Workshop on Intelligent Systems and Applications\",\"volume\":\"134 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-05-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 3rd International Workshop on Intelligent Systems and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISA.2011.5873303\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 3rd International Workshop on Intelligent Systems and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISA.2011.5873303","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Generalized Synchronization and Parameter Identification of Chaotic or Hyperchaotic Systems
Based on the Lyapunov stability theory, general nonlinear controllers and parameter identifiers are designed to achieve generalized synchronization and parameter identification of chaotic or hyperchaotic systems. The proposed synchronization scheme is robust to the external disturbances. Numerical simulations results are presented to demonstrate the effectiveness of the method.