{"title":"一种系统的增强渐近地平线稳定预测控制器鲁棒性的方法","authors":"David Megías, J. Serrano, A. Kuznetsov","doi":"10.23919/ECC.1999.7099409","DOIUrl":null,"url":null,"abstract":"Although stability guarantees are available for predictive controllers, closed-loop instability may arise due to system uncertainty. The T-design and the Q-parametrisation methods are often used to enhance the robustness of predictive controllers. The former is heuristic, whereas optimisation rules exist for the latter, which makes it systematic. However, the T-design tends to producing larger robustness margins. The T-optimisation presented here is a systematic procedure to choose T based on optimising a quadratic criterion on robustness and thus, overcomes the drawbacks of heuristic approaches. This method can lead to robustness margins larger than those obtained with other techniques.","PeriodicalId":117668,"journal":{"name":"1999 European Control Conference (ECC)","volume":"58 4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"A systematic method to enhance the robustness of stabilising receding-horizon predictive controllers\",\"authors\":\"David Megías, J. Serrano, A. Kuznetsov\",\"doi\":\"10.23919/ECC.1999.7099409\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Although stability guarantees are available for predictive controllers, closed-loop instability may arise due to system uncertainty. The T-design and the Q-parametrisation methods are often used to enhance the robustness of predictive controllers. The former is heuristic, whereas optimisation rules exist for the latter, which makes it systematic. However, the T-design tends to producing larger robustness margins. The T-optimisation presented here is a systematic procedure to choose T based on optimising a quadratic criterion on robustness and thus, overcomes the drawbacks of heuristic approaches. This method can lead to robustness margins larger than those obtained with other techniques.\",\"PeriodicalId\":117668,\"journal\":{\"name\":\"1999 European Control Conference (ECC)\",\"volume\":\"58 4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1999 European Control Conference (ECC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ECC.1999.7099409\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1999 European Control Conference (ECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ECC.1999.7099409","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A systematic method to enhance the robustness of stabilising receding-horizon predictive controllers
Although stability guarantees are available for predictive controllers, closed-loop instability may arise due to system uncertainty. The T-design and the Q-parametrisation methods are often used to enhance the robustness of predictive controllers. The former is heuristic, whereas optimisation rules exist for the latter, which makes it systematic. However, the T-design tends to producing larger robustness margins. The T-optimisation presented here is a systematic procedure to choose T based on optimising a quadratic criterion on robustness and thus, overcomes the drawbacks of heuristic approaches. This method can lead to robustness margins larger than those obtained with other techniques.