FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3169155514> ?p ?o ?g. }

• W3169155514 endingPage "2965" @default.
• W3169155514 startingPage "2950" @default.
• W3169155514 abstract "In this article, we present a data-driven learning model predictive control (MPC) scheme for chance-constrained Markov jump systems with unknown switching probabilities. Using samples of the underlying Markov chain, ambiguity sets of transition probabilities are estimated, which include the true conditional probability distributions with high probability. These sets are updated online and used to formulate a time-varying, risk-averse optimal control problem. We prove recursive feasibility of the resulting MPC scheme and show that the original chance constraints remain satisfied at every time step. Furthermore, we show that under sufficient decrease of the confidence levels, the resulting MPC scheme renders the closed-loop system mean-square stable with respect to the true-but-unknown distributions, while remaining less conservative than a fully robust approach. Finally, we show that the data-driven value function of the learning MPC converges from above to its nominal counterpart as the sample size grows to infinity. We illustrate our approach on a numerical example." @default.
• W3169155514 created "2021-06-22" @default.
• W3169155514 creator A5030621921 @default.
• W3169155514 creator A5031380765 @default.
• W3169155514 date "2023-05-01" @default.
• W3169155514 modified "2023-10-16" @default.
• W3169155514 title "A General Framework for Learning-Based Distributionally Robust MPC of Markov Jump Systems" @default.
• W3169155514 cites W1484551447 @default.
• W3169155514 cites W1490978409 @default.
• W3169155514 cites W1518992076 @default.
• W3169155514 cites W1542523037 @default.
• W3169155514 cites W1601741115 @default.
• W3169155514 cites W1976410223 @default.
• W3169155514 cites W2001009060 @default.
• W3169155514 cites W2006859604 @default.
• W3169155514 cites W2042186399 @default.
• W3169155514 cites W2062843008 @default.
• W3169155514 cites W2067716288 @default.
• W3169155514 cites W2092123844 @default.
• W3169155514 cites W2114246772 @default.
• W3169155514 cites W2114648299 @default.
• W3169155514 cites W2116511904 @default.
• W3169155514 cites W2125417745 @default.
• W3169155514 cites W2153885307 @default.
• W3169155514 cites W2165428239 @default.
• W3169155514 cites W2336156739 @default.
• W3169155514 cites W2413393233 @default.
• W3169155514 cites W2482605755 @default.
• W3169155514 cites W2553297237 @default.
• W3169155514 cites W2557055507 @default.
• W3169155514 cites W2605458048 @default.
• W3169155514 cites W2822752092 @default.
• W3169155514 cites W2887782738 @default.
• W3169155514 cites W2902505661 @default.
• W3169155514 cites W2905838893 @default.
• W3169155514 cites W2936556294 @default.
• W3169155514 cites W2951714068 @default.
• W3169155514 cites W2954197016 @default.
• W3169155514 cites W2963082836 @default.
• W3169155514 cites W2963450292 @default.
• W3169155514 cites W2963525569 @default.
• W3169155514 cites W2967875632 @default.
• W3169155514 cites W2982046139 @default.
• W3169155514 cites W2989871066 @default.
• W3169155514 cites W2992833799 @default.
• W3169155514 cites W3001311638 @default.
• W3169155514 cites W3012118400 @default.
• W3169155514 cites W3018216063 @default.
• W3169155514 cites W3044031386 @default.
• W3169155514 cites W3111425826 @default.
• W3169155514 cites W3119655085 @default.
• W3169155514 cites W3120393608 @default.
• W3169155514 cites W3126452318 @default.
• W3169155514 cites W3155168014 @default.
• W3169155514 cites W3155860147 @default.
• W3169155514 cites W3169155514 @default.
• W3169155514 cites W3200314100 @default.
• W3169155514 cites W3204061874 @default.
• W3169155514 cites W4239466562 @default.
• W3169155514 cites W4245681537 @default.
• W3169155514 cites W4246038204 @default.
• W3169155514 cites W4247165901 @default.
• W3169155514 cites W4249513058 @default.
• W3169155514 cites W4287186233 @default.
• W3169155514 cites W4288066793 @default.
• W3169155514 cites W4302366875 @default.
• W3169155514 cites W622935592 @default.
• W3169155514 cites W3144644885 @default.
• W3169155514 doi "https://doi.org/10.1109/tac.2023.3237999" @default.
• W3169155514 hasPublicationYear "2023" @default.
• W3169155514 type Work @default.
• W3169155514 sameAs 3169155514 @default.
• W3169155514 citedByCount "5" @default.
• W3169155514 countsByYear W31691555142023 @default.
• W3169155514 crossrefType "journal-article" @default.
• W3169155514 hasAuthorship W3169155514A5030621921 @default.
• W3169155514 hasAuthorship W3169155514A5031380765 @default.
• W3169155514 hasBestOaLocation W31691555142 @default.
• W3169155514 hasConcept C105795698 @default.
• W3169155514 hasConcept C106189395 @default.
• W3169155514 hasConcept C121332964 @default.
• W3169155514 hasConcept C126255220 @default.
• W3169155514 hasConcept C154945302 @default.
• W3169155514 hasConcept C159886148 @default.
• W3169155514 hasConcept C172205157 @default.
• W3169155514 hasConcept C199360897 @default.
• W3169155514 hasConcept C2775924081 @default.
• W3169155514 hasConcept C2780522230 @default.
• W3169155514 hasConcept C2780695682 @default.
• W3169155514 hasConcept C28826006 @default.
• W3169155514 hasConcept C33923547 @default.
• W3169155514 hasConcept C41008148 @default.
• W3169155514 hasConcept C47446073 @default.
• W3169155514 hasConcept C62520636 @default.
• W3169155514 hasConcept C98763669 @default.
• W3169155514 hasConceptScore W3169155514C105795698 @default.
• W3169155514 hasConceptScore W3169155514C106189395 @default.
• W3169155514 hasConceptScore W3169155514C121332964 @default.

• next