{"title":"一类非线性动态系统的CMAC网络学习控制的收敛性","authors":"Hui Liu, Danwei W. Wang","doi":"10.1109/ISIC.1999.796639","DOIUrl":null,"url":null,"abstract":"Due to the high nonlinear property, the convergence of neural network based closed-loop system are very difficult to analyze. In the paper, we adopt cerebellar model articulation controller (CMAC) as an iterative learning controller, the convergence of the closed-loop system is analyzed based on the iterative learning control theory. Simulation results verify the analysis.","PeriodicalId":300130,"journal":{"name":"Proceedings of the 1999 IEEE International Symposium on Intelligent Control Intelligent Systems and Semiotics (Cat. No.99CH37014)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Convergence of CMAC network learning control for a class of nonlinear dynamic system\",\"authors\":\"Hui Liu, Danwei W. Wang\",\"doi\":\"10.1109/ISIC.1999.796639\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Due to the high nonlinear property, the convergence of neural network based closed-loop system are very difficult to analyze. In the paper, we adopt cerebellar model articulation controller (CMAC) as an iterative learning controller, the convergence of the closed-loop system is analyzed based on the iterative learning control theory. Simulation results verify the analysis.\",\"PeriodicalId\":300130,\"journal\":{\"name\":\"Proceedings of the 1999 IEEE International Symposium on Intelligent Control Intelligent Systems and Semiotics (Cat. No.99CH37014)\",\"volume\":\"87 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 1999 IEEE International Symposium on Intelligent Control Intelligent Systems and Semiotics (Cat. No.99CH37014)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIC.1999.796639\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 1999 IEEE International Symposium on Intelligent Control Intelligent Systems and Semiotics (Cat. No.99CH37014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIC.1999.796639","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Convergence of CMAC network learning control for a class of nonlinear dynamic system
Due to the high nonlinear property, the convergence of neural network based closed-loop system are very difficult to analyze. In the paper, we adopt cerebellar model articulation controller (CMAC) as an iterative learning controller, the convergence of the closed-loop system is analyzed based on the iterative learning control theory. Simulation results verify the analysis.
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