{"title":"不确定Duffing-Holmes系统同步的模糊滑模控制","authors":"Chao-Lin Kuo, N. Pai, Shen-Min Liang, Su-Hau Hu","doi":"10.1109/KAMW.2008.4810435","DOIUrl":null,"url":null,"abstract":"In this study, a robust algorithm with a fuzzy sliding model controller (FSMC) is used to synchronization of a Duffing-Holmes system. The robust algorithm is an output factor of the fuzzy sliding model controller. The control rules of FSMC are based on the Lyapunov stability theorem. The objective of synchronization is to study a master-and-slave system to be synchronized with both uncertainties and disturbances added in the slave system. Simulation results show the effectiveness of the proposed method.","PeriodicalId":375613,"journal":{"name":"2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop","volume":"82 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Fuzzy Sliding-Model Control for Synchronization of an Uncertain Duffing-Holmes System\",\"authors\":\"Chao-Lin Kuo, N. Pai, Shen-Min Liang, Su-Hau Hu\",\"doi\":\"10.1109/KAMW.2008.4810435\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, a robust algorithm with a fuzzy sliding model controller (FSMC) is used to synchronization of a Duffing-Holmes system. The robust algorithm is an output factor of the fuzzy sliding model controller. The control rules of FSMC are based on the Lyapunov stability theorem. The objective of synchronization is to study a master-and-slave system to be synchronized with both uncertainties and disturbances added in the slave system. Simulation results show the effectiveness of the proposed method.\",\"PeriodicalId\":375613,\"journal\":{\"name\":\"2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop\",\"volume\":\"82 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/KAMW.2008.4810435\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/KAMW.2008.4810435","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuzzy Sliding-Model Control for Synchronization of an Uncertain Duffing-Holmes System
In this study, a robust algorithm with a fuzzy sliding model controller (FSMC) is used to synchronization of a Duffing-Holmes system. The robust algorithm is an output factor of the fuzzy sliding model controller. The control rules of FSMC are based on the Lyapunov stability theorem. The objective of synchronization is to study a master-and-slave system to be synchronized with both uncertainties and disturbances added in the slave system. Simulation results show the effectiveness of the proposed method.
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