{"title":"模型预测控制设计中样本/保持时间对初始可行集的影响","authors":"Dexiang Zhou, K. Ling","doi":"10.1109/AUCC.2013.6697275","DOIUrl":null,"url":null,"abstract":"Sample/Hold (S/H) time plays an important role in the implementation of Model Predictive Control (MPC). The purpose of this paper is to investigate how the S/H time effects the size of initial feasible set in MPC design. Many factors influence S/H time choice, e.g. the process dynamics, the computational power of the implementation platform, etc. An illustrated example is given to show how to select S/H time in MPC designs, especially from the perspective of trade-off between their on-line computational complexity, initial feasible set, and closed-loop performance.","PeriodicalId":177490,"journal":{"name":"2013 Australian Control Conference","volume":"250 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The effect of sample/hold time on initial feasible set in model predictive control design\",\"authors\":\"Dexiang Zhou, K. Ling\",\"doi\":\"10.1109/AUCC.2013.6697275\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Sample/Hold (S/H) time plays an important role in the implementation of Model Predictive Control (MPC). The purpose of this paper is to investigate how the S/H time effects the size of initial feasible set in MPC design. Many factors influence S/H time choice, e.g. the process dynamics, the computational power of the implementation platform, etc. An illustrated example is given to show how to select S/H time in MPC designs, especially from the perspective of trade-off between their on-line computational complexity, initial feasible set, and closed-loop performance.\",\"PeriodicalId\":177490,\"journal\":{\"name\":\"2013 Australian Control Conference\",\"volume\":\"250 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Australian Control Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AUCC.2013.6697275\",\"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 Australian Control Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AUCC.2013.6697275","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The effect of sample/hold time on initial feasible set in model predictive control design
Sample/Hold (S/H) time plays an important role in the implementation of Model Predictive Control (MPC). The purpose of this paper is to investigate how the S/H time effects the size of initial feasible set in MPC design. Many factors influence S/H time choice, e.g. the process dynamics, the computational power of the implementation platform, etc. An illustrated example is given to show how to select S/H time in MPC designs, especially from the perspective of trade-off between their on-line computational complexity, initial feasible set, and closed-loop performance.