{"title":"基于李雅普诺夫稳定性理论的系统参数不确定混沌无刷直流电机自适应同步","authors":"Muhong Wang, Du Qu Wei","doi":"10.1109/ICSENG.2018.8638218","DOIUrl":null,"url":null,"abstract":"The adaptive synchronization problem of chaotic Brushless DC motors with uncertain system parameters via controller and update law is investigated by using Lyapunov stability theory. The adaptive control are firstly proposed, and then by using numerical simulations we proofed the validity and reliability of the control method. Our study can solve the synchronization and the motors coordination problem in manufacturing industry.","PeriodicalId":356324,"journal":{"name":"2018 26th International Conference on Systems Engineering (ICSEng)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Adaptive Synchronization of Chaotic Brushless DC Motors with Uncertain System Parameters Based on Lyapunov Stability theory\",\"authors\":\"Muhong Wang, Du Qu Wei\",\"doi\":\"10.1109/ICSENG.2018.8638218\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The adaptive synchronization problem of chaotic Brushless DC motors with uncertain system parameters via controller and update law is investigated by using Lyapunov stability theory. The adaptive control are firstly proposed, and then by using numerical simulations we proofed the validity and reliability of the control method. Our study can solve the synchronization and the motors coordination problem in manufacturing industry.\",\"PeriodicalId\":356324,\"journal\":{\"name\":\"2018 26th International Conference on Systems Engineering (ICSEng)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 26th International Conference on Systems Engineering (ICSEng)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSENG.2018.8638218\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 26th International Conference on Systems Engineering (ICSEng)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSENG.2018.8638218","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive Synchronization of Chaotic Brushless DC Motors with Uncertain System Parameters Based on Lyapunov Stability theory
The adaptive synchronization problem of chaotic Brushless DC motors with uncertain system parameters via controller and update law is investigated by using Lyapunov stability theory. The adaptive control are firstly proposed, and then by using numerical simulations we proofed the validity and reliability of the control method. Our study can solve the synchronization and the motors coordination problem in manufacturing industry.
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