{"title":"基于拉盖尔函数的非线性系统多模型预测控制","authors":"Xiaoli Li, Xiang Yu, Yao Wang, Shangjun Wang","doi":"10.1109/ICAL.2011.6024749","DOIUrl":null,"url":null,"abstract":"Multiple linear models based laguerre function are provided to cover the uncertainty of a nonlinear discrete time system. Based on these models, a multiple model predictive controller is given. By using an index switching function, the transient response can be improved due to the switching among different models. From the result of simulation, the effectiveness of the controller proposed in this paper can be tested.","PeriodicalId":351518,"journal":{"name":"2011 IEEE International Conference on Automation and Logistics (ICAL)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Laguerre function based multiple model predictive control for nonlinear system\",\"authors\":\"Xiaoli Li, Xiang Yu, Yao Wang, Shangjun Wang\",\"doi\":\"10.1109/ICAL.2011.6024749\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Multiple linear models based laguerre function are provided to cover the uncertainty of a nonlinear discrete time system. Based on these models, a multiple model predictive controller is given. By using an index switching function, the transient response can be improved due to the switching among different models. From the result of simulation, the effectiveness of the controller proposed in this paper can be tested.\",\"PeriodicalId\":351518,\"journal\":{\"name\":\"2011 IEEE International Conference on Automation and Logistics (ICAL)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE International Conference on Automation and Logistics (ICAL)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAL.2011.6024749\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Automation and Logistics (ICAL)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAL.2011.6024749","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Laguerre function based multiple model predictive control for nonlinear system
Multiple linear models based laguerre function are provided to cover the uncertainty of a nonlinear discrete time system. Based on these models, a multiple model predictive controller is given. By using an index switching function, the transient response can be improved due to the switching among different models. From the result of simulation, the effectiveness of the controller proposed in this paper can be tested.