Matches in SemOpenAlex for { <https://semopenalex.org/work/W4308456484> ?p ?o ?g. }
- W4308456484 endingPage "1315" @default.
- W4308456484 startingPage "1284" @default.
- W4308456484 abstract "This article studies a data-driven predictive control for a class of control-affine systems which is subject to uncertainty. With the accessibility to finite sample measurements of the uncertain variables, we aim to find controls which are feasible and provide superior performance guarantees with high probability. This results into the formulation of a stochastic optimization problem (P), which is intractable due to the unknown distribution of the uncertainty variables. By developing a distributionally robust optimization framework, we present an equivalent and yet tractable reformulation of (P). Further, we propose an efficient algorithm that provides online suboptimal data-driven solutions and guarantees performance with high probability. To illustrate the effectiveness of the proposed approach, we consider a highway speed-limit control problem. We then develop a set of data-driven speed controls that allow us to prevent traffic congestion with high probability. Finally, we employ the resulting control method on a traffic simulator to illustrate the effectiveness of this approach numerically." @default.
- W4308456484 created "2022-11-12" @default.
- W4308456484 creator A5007217533 @default.
- W4308456484 creator A5024022921 @default.
- W4308456484 creator A5091066619 @default.
- W4308456484 date "2022-11-06" @default.
- W4308456484 modified "2023-10-18" @default.
- W4308456484 title "Data‐driven predictive control for a class of uncertain control‐affine systems" @default.
- W4308456484 cites W1531820580 @default.
- W4308456484 cites W1600175910 @default.
- W4308456484 cites W1970544310 @default.
- W4308456484 cites W1983864916 @default.
- W4308456484 cites W1985986451 @default.
- W4308456484 cites W1988622494 @default.
- W4308456484 cites W1990871591 @default.
- W4308456484 cites W1997370378 @default.
- W4308456484 cites W2016211524 @default.
- W4308456484 cites W2028517895 @default.
- W4308456484 cites W2037141248 @default.
- W4308456484 cites W2041818766 @default.
- W4308456484 cites W2060016034 @default.
- W4308456484 cites W2060612291 @default.
- W4308456484 cites W2064289863 @default.
- W4308456484 cites W2066425650 @default.
- W4308456484 cites W2067645499 @default.
- W4308456484 cites W2095797625 @default.
- W4308456484 cites W2099725895 @default.
- W4308456484 cites W2101496914 @default.
- W4308456484 cites W2154067661 @default.
- W4308456484 cites W2154247464 @default.
- W4308456484 cites W2161508344 @default.
- W4308456484 cites W2162117184 @default.
- W4308456484 cites W2276329747 @default.
- W4308456484 cites W2324633439 @default.
- W4308456484 cites W2346460013 @default.
- W4308456484 cites W2399440847 @default.
- W4308456484 cites W2470255163 @default.
- W4308456484 cites W2557055507 @default.
- W4308456484 cites W2588964674 @default.
- W4308456484 cites W2590522112 @default.
- W4308456484 cites W2615703942 @default.
- W4308456484 cites W2769410804 @default.
- W4308456484 cites W2783017988 @default.
- W4308456484 cites W2890655496 @default.
- W4308456484 cites W2903709398 @default.
- W4308456484 cites W2905838893 @default.
- W4308456484 cites W2963134136 @default.
- W4308456484 cites W2963450292 @default.
- W4308456484 cites W2973216872 @default.
- W4308456484 cites W2990301977 @default.
- W4308456484 cites W3039219524 @default.
- W4308456484 cites W3047198505 @default.
- W4308456484 cites W3096189329 @default.
- W4308456484 cites W3100883432 @default.
- W4308456484 cites W3101115525 @default.
- W4308456484 cites W3102002161 @default.
- W4308456484 cites W3103833494 @default.
- W4308456484 cites W3104654558 @default.
- W4308456484 cites W3124714522 @default.
- W4308456484 cites W5681549 @default.
- W4308456484 doi "https://doi.org/10.1002/rnc.6430" @default.
- W4308456484 hasPublicationYear "2022" @default.
- W4308456484 type Work @default.
- W4308456484 citedByCount "0" @default.
- W4308456484 crossrefType "journal-article" @default.
- W4308456484 hasAuthorship W4308456484A5007217533 @default.
- W4308456484 hasAuthorship W4308456484A5024022921 @default.
- W4308456484 hasAuthorship W4308456484A5091066619 @default.
- W4308456484 hasBestOaLocation W43084564842 @default.
- W4308456484 hasConcept C105795698 @default.
- W4308456484 hasConcept C126255220 @default.
- W4308456484 hasConcept C137836250 @default.
- W4308456484 hasConcept C149441793 @default.
- W4308456484 hasConcept C154945302 @default.
- W4308456484 hasConcept C172205157 @default.
- W4308456484 hasConcept C177264268 @default.
- W4308456484 hasConcept C185592680 @default.
- W4308456484 hasConcept C198531522 @default.
- W4308456484 hasConcept C199360897 @default.
- W4308456484 hasConcept C202444582 @default.
- W4308456484 hasConcept C2775924081 @default.
- W4308456484 hasConcept C2777212361 @default.
- W4308456484 hasConcept C33923547 @default.
- W4308456484 hasConcept C41008148 @default.
- W4308456484 hasConcept C43617362 @default.
- W4308456484 hasConcept C47446073 @default.
- W4308456484 hasConcept C92757383 @default.
- W4308456484 hasConceptScore W4308456484C105795698 @default.
- W4308456484 hasConceptScore W4308456484C126255220 @default.
- W4308456484 hasConceptScore W4308456484C137836250 @default.
- W4308456484 hasConceptScore W4308456484C149441793 @default.
- W4308456484 hasConceptScore W4308456484C154945302 @default.
- W4308456484 hasConceptScore W4308456484C172205157 @default.
- W4308456484 hasConceptScore W4308456484C177264268 @default.
- W4308456484 hasConceptScore W4308456484C185592680 @default.
- W4308456484 hasConceptScore W4308456484C198531522 @default.
- W4308456484 hasConceptScore W4308456484C199360897 @default.
- W4308456484 hasConceptScore W4308456484C202444582 @default.