{"title":"一类混沌系统的模糊自适应积分滑模同步","authors":"Chunzhi Yang, Yeguo Sun, Xiangyu Wei, Hui Lv","doi":"10.1109/IAI50351.2020.9262181","DOIUrl":null,"url":null,"abstract":"Synchronization between two uncertain different chaotic systems is investigated by using adaptive fuzzy integral terminal sliding mode control. The proposed method can guarantee the convergence of the synchronization errors in some finite time. In addition, the singular problem which usually occurs in traditional sliding mode control, can also be avoided. Finally, some simulation studies are presented to show the effectiveness of the proposed method.","PeriodicalId":137183,"journal":{"name":"2020 2nd International Conference on Industrial Artificial Intelligence (IAI)","volume":"111 1-3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fuzzy adaptive integral sliding mode synchronization of a class of chaotic systems\",\"authors\":\"Chunzhi Yang, Yeguo Sun, Xiangyu Wei, Hui Lv\",\"doi\":\"10.1109/IAI50351.2020.9262181\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Synchronization between two uncertain different chaotic systems is investigated by using adaptive fuzzy integral terminal sliding mode control. The proposed method can guarantee the convergence of the synchronization errors in some finite time. In addition, the singular problem which usually occurs in traditional sliding mode control, can also be avoided. Finally, some simulation studies are presented to show the effectiveness of the proposed method.\",\"PeriodicalId\":137183,\"journal\":{\"name\":\"2020 2nd International Conference on Industrial Artificial Intelligence (IAI)\",\"volume\":\"111 1-3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 2nd International Conference on Industrial Artificial Intelligence (IAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IAI50351.2020.9262181\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 2nd International Conference on Industrial Artificial Intelligence (IAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAI50351.2020.9262181","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuzzy adaptive integral sliding mode synchronization of a class of chaotic systems
Synchronization between two uncertain different chaotic systems is investigated by using adaptive fuzzy integral terminal sliding mode control. The proposed method can guarantee the convergence of the synchronization errors in some finite time. In addition, the singular problem which usually occurs in traditional sliding mode control, can also be avoided. Finally, some simulation studies are presented to show the effectiveness of the proposed method.
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