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Optimal control of a jump process. (English) Zbl 0349.60084

It is supposed that the behaviour of a process with a single random jump can be controlled by selecting Radon-Nikodym derivatives, that determine probability measures describing when the jump happens and where it goes. By observing that the minimum cost function is a “semi-martingale speciale” a dynamic programming minimum principle for the optimum control is obtained. An “adjoint variable” is introduced and shown to satisfy a certain differential equation, and the results are extended to multi-jump processes.

MSC:

60J75 Jump processes (MSC2010)
93E20 Optimal stochastic control
Full Text: DOI

References:

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