{"title":"具有参数变化率有限的LPV系统改进的未来模型预测和鲁棒MPC设计","authors":"Pengyuan Zheng, Dewei Li, Y. Xi, Jun Zhang","doi":"10.1109/ASCC.2013.6606174","DOIUrl":null,"url":null,"abstract":"For linear parameter varying (LPV) systems with bounded rates of parameter variations, the prediction of future system dynamics is an important issue for the control performance of robust model predictive control (RMPC). A future model prediction method is proposed. By introducing more freedom, the proposed method can predict the future system dynamics more precisely than the existing approaches, which improves the control performance of RMPC.","PeriodicalId":6304,"journal":{"name":"2013 9th Asian Control Conference (ASCC)","volume":"1 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Improved future model prediction and robust MPC design for LPV systems with bounded rates of parameter variations\",\"authors\":\"Pengyuan Zheng, Dewei Li, Y. Xi, Jun Zhang\",\"doi\":\"10.1109/ASCC.2013.6606174\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For linear parameter varying (LPV) systems with bounded rates of parameter variations, the prediction of future system dynamics is an important issue for the control performance of robust model predictive control (RMPC). A future model prediction method is proposed. By introducing more freedom, the proposed method can predict the future system dynamics more precisely than the existing approaches, which improves the control performance of RMPC.\",\"PeriodicalId\":6304,\"journal\":{\"name\":\"2013 9th Asian Control Conference (ASCC)\",\"volume\":\"1 1\",\"pages\":\"1-6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 9th Asian Control Conference (ASCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASCC.2013.6606174\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 9th Asian Control Conference (ASCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASCC.2013.6606174","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improved future model prediction and robust MPC design for LPV systems with bounded rates of parameter variations
For linear parameter varying (LPV) systems with bounded rates of parameter variations, the prediction of future system dynamics is an important issue for the control performance of robust model predictive control (RMPC). A future model prediction method is proposed. By introducing more freedom, the proposed method can predict the future system dynamics more precisely than the existing approaches, which improves the control performance of RMPC.