Computing Optimal Joint Chance Constrained Control Policies

We consider the problem of optimally controlling stochastic, Markovian systems subject to joint chance constraints over a finite-time horizon. For such problems, standard dynamic programming is inapplicable due to the time correlation of the joint chance constraints, which calls for non-Markovian, a...

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Vydané v:	IEEE transactions on automatic control Ročník 70; číslo 7; s. 4904 - 4911
Hlavní autori:	Schmid, Niklas, Fochesato, Marta, Li, Sarah H.Q., Sutter, Tobias, Lygeros, John
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.07.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Aerospace electronics Constraints Costs Dynamic programming Dynamic programming (DP) Heuristic algorithms joint chance constrained programming Kernel Optimal control Optimization Policies Programming Safety stochastic optimal control Stochastic processes Trajectory
ISSN:	0018-9286, 1558-2523
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