Discretisation of stochastic control problems for continuous time dynamics with delay

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dc.creatorFischer, Markus
dc.creatorReiss, Markus
dc.date2006-02-17
dc.date.accessioned2026-07-07T07:03:33Z
dc.date.available2026-07-07T07:03:33Z
dc.descriptionAs a main step in the numerical solution of control problems in continuous time, the controlled process is approximated by sequences of controlled Markov chains, thus discretising time and space. A new feature in this context is to allow for delay in the dynamics. The existence of an optimal strategy with respect to the cost functional can be guaranteed in the class of relaxed controls. Weak convergence of the approximating extended Markov chains to the original process together with convergence of the associated optimal strategies is established.
dc.descriptionsubmitted to JCAM
dc.identifierhttps://arxiv.org/abs/math/0602385
dc.identifierhttp://arxiv.org/abs/math/0602385
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/109013
dc.subjectOptimization and Control
dc.subjectProbability
dc.subject93E20
dc.titleDiscretisation of stochastic control problems for continuous time dynamics with delay
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