M. Seron, Sorin Olaru, F. Stoican, J. Doná, E. Kofman
{"title":"On Finitely Determined Minimal Robust Positively Invariant Sets","authors":"M. Seron, Sorin Olaru, F. Stoican, J. Doná, E. Kofman","doi":"10.1109/ANZCC47194.2019.8945678","DOIUrl":null,"url":null,"abstract":"For linear, time invariant stable systems with additive state disturbances that are bounded by polytopic sets, we establish connections between the minimal robust positively invariant set (mRPI) and ultimate-bound invariant (UBI) sets. We first identify cases for which the mRPI set is finitely determined. We then apply those cases to address the dual problem of finding (i) the A matrix of an LTI system, (ii) a disturbance set and (iii) a projection matrix, for which a given UBI set is a projection of the mRPI set associated with those three elements. Finally, these results are combined to iteratively compute converging outer approximations of the mRPI set associated with a given system via a sequence of sets that are projections of finitely determined mRPI sets in lifted spaces.","PeriodicalId":322243,"journal":{"name":"2019 Australian & New Zealand Control Conference (ANZCC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Australian & New Zealand Control Conference (ANZCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANZCC47194.2019.8945678","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
For linear, time invariant stable systems with additive state disturbances that are bounded by polytopic sets, we establish connections between the minimal robust positively invariant set (mRPI) and ultimate-bound invariant (UBI) sets. We first identify cases for which the mRPI set is finitely determined. We then apply those cases to address the dual problem of finding (i) the A matrix of an LTI system, (ii) a disturbance set and (iii) a projection matrix, for which a given UBI set is a projection of the mRPI set associated with those three elements. Finally, these results are combined to iteratively compute converging outer approximations of the mRPI set associated with a given system via a sequence of sets that are projections of finitely determined mRPI sets in lifted spaces.