{"title":"一类非线性SISO系统的无模型自适应PI预测控制","authors":"Xiaoke Li, Hongxin Li, Yao-Bing Wei","doi":"10.1109/IHMSC.2015.145","DOIUrl":null,"url":null,"abstract":"In this paper, a new predictive control scheme named model-free adaptive PI predictive control (MFAPIPC) is proposed for a class of an adaptive PI control algorithm and the model-free adaptive control (MFAC). In this work, the model-free is designed by pseudo-partial-derivatives (PPD) which is predicted using the multi-level recursive prediction algorithm, and PI control algorithm is extended by using general predictive control. The results of the simulation show that MFAPIPC is an excellent control scheme.","PeriodicalId":6592,"journal":{"name":"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"22 1","pages":"101-104"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Model-Free Adaptive PI Predictive Control for a Class of Nonlinear SISO Systems\",\"authors\":\"Xiaoke Li, Hongxin Li, Yao-Bing Wei\",\"doi\":\"10.1109/IHMSC.2015.145\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a new predictive control scheme named model-free adaptive PI predictive control (MFAPIPC) is proposed for a class of an adaptive PI control algorithm and the model-free adaptive control (MFAC). In this work, the model-free is designed by pseudo-partial-derivatives (PPD) which is predicted using the multi-level recursive prediction algorithm, and PI control algorithm is extended by using general predictive control. The results of the simulation show that MFAPIPC is an excellent control scheme.\",\"PeriodicalId\":6592,\"journal\":{\"name\":\"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics\",\"volume\":\"22 1\",\"pages\":\"101-104\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-08-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IHMSC.2015.145\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IHMSC.2015.145","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Model-Free Adaptive PI Predictive Control for a Class of Nonlinear SISO Systems
In this paper, a new predictive control scheme named model-free adaptive PI predictive control (MFAPIPC) is proposed for a class of an adaptive PI control algorithm and the model-free adaptive control (MFAC). In this work, the model-free is designed by pseudo-partial-derivatives (PPD) which is predicted using the multi-level recursive prediction algorithm, and PI control algorithm is extended by using general predictive control. The results of the simulation show that MFAPIPC is an excellent control scheme.
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