{"title":"基于T-S模糊模型的混沌系统脉冲同步","authors":"Qishui Zhong, Yongbin Yu, Jingfu Bao, Songbai He","doi":"10.1109/ICCCAS.2007.4348242","DOIUrl":null,"url":null,"abstract":"In this paper, we present an impulsive synchronization method for chaotic systems based on their Takagi-Sugeno (T-S) fuzzy models, using the comparison methods to determine the stability of error systems between the drive and response systems. Some sufficient conditions are derived to synchronize chaotic systems. A numerical example is given to illustrate the obtained results.","PeriodicalId":218351,"journal":{"name":"2007 International Conference on Communications, Circuits and Systems","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Impulsive Synchronization for T-S Fuzzy Model-based Chaotic Systems\",\"authors\":\"Qishui Zhong, Yongbin Yu, Jingfu Bao, Songbai He\",\"doi\":\"10.1109/ICCCAS.2007.4348242\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present an impulsive synchronization method for chaotic systems based on their Takagi-Sugeno (T-S) fuzzy models, using the comparison methods to determine the stability of error systems between the drive and response systems. Some sufficient conditions are derived to synchronize chaotic systems. A numerical example is given to illustrate the obtained results.\",\"PeriodicalId\":218351,\"journal\":{\"name\":\"2007 International Conference on Communications, Circuits and Systems\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 International Conference on Communications, Circuits and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCCAS.2007.4348242\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Conference on Communications, Circuits and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCAS.2007.4348242","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Impulsive Synchronization for T-S Fuzzy Model-based Chaotic Systems
In this paper, we present an impulsive synchronization method for chaotic systems based on their Takagi-Sugeno (T-S) fuzzy models, using the comparison methods to determine the stability of error systems between the drive and response systems. Some sufficient conditions are derived to synchronize chaotic systems. A numerical example is given to illustrate the obtained results.