Songsong Cheng, Yiheng Wei, Yanan Xiao, Yuquan Chen, Yong Wang
{"title":"基于Kp的LDU分解的多变量系统分数阶复合MRAC","authors":"Songsong Cheng, Yiheng Wei, Yanan Xiao, Yuquan Chen, Yong Wang","doi":"10.1109/CCDC.2017.7978078","DOIUrl":null,"url":null,"abstract":"By utilizing LDU factorization of high frequency gain (HFG) Kp, a novel fractional order composite model reference adaptive control (MRAC) is investigated for a class of fractional order multi variable systems. Firstly, in the proposed method, the stringent symmetry assumption related with the plant high frequency gain matrix is removed. Besides, by means of fractional order tracking differentiator, the parameter estimation errors is obtained to construct the fractional order parameter updating laws, which can improve the tracking performance and reduce the control cost. In addition, by utilizing indirect Lyapunov approach, the convergence of closed-loop control systems and parameters estimation are proved. Finally, for the purpose of showing the effectiveness of the proposed method, a numerical example are developed.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"9 1","pages":"123-128"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A fractional order composite MRAC for multi variable systems based on LDU factorization of Kp\",\"authors\":\"Songsong Cheng, Yiheng Wei, Yanan Xiao, Yuquan Chen, Yong Wang\",\"doi\":\"10.1109/CCDC.2017.7978078\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"By utilizing LDU factorization of high frequency gain (HFG) Kp, a novel fractional order composite model reference adaptive control (MRAC) is investigated for a class of fractional order multi variable systems. Firstly, in the proposed method, the stringent symmetry assumption related with the plant high frequency gain matrix is removed. Besides, by means of fractional order tracking differentiator, the parameter estimation errors is obtained to construct the fractional order parameter updating laws, which can improve the tracking performance and reduce the control cost. In addition, by utilizing indirect Lyapunov approach, the convergence of closed-loop control systems and parameters estimation are proved. Finally, for the purpose of showing the effectiveness of the proposed method, a numerical example are developed.\",\"PeriodicalId\":6588,\"journal\":{\"name\":\"2017 29th Chinese Control And Decision Conference (CCDC)\",\"volume\":\"9 1\",\"pages\":\"123-128\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 29th Chinese Control And Decision Conference (CCDC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCDC.2017.7978078\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 29th Chinese Control And Decision Conference (CCDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCDC.2017.7978078","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A fractional order composite MRAC for multi variable systems based on LDU factorization of Kp
By utilizing LDU factorization of high frequency gain (HFG) Kp, a novel fractional order composite model reference adaptive control (MRAC) is investigated for a class of fractional order multi variable systems. Firstly, in the proposed method, the stringent symmetry assumption related with the plant high frequency gain matrix is removed. Besides, by means of fractional order tracking differentiator, the parameter estimation errors is obtained to construct the fractional order parameter updating laws, which can improve the tracking performance and reduce the control cost. In addition, by utilizing indirect Lyapunov approach, the convergence of closed-loop control systems and parameters estimation are proved. Finally, for the purpose of showing the effectiveness of the proposed method, a numerical example are developed.