Abstract
We study the problem of optimal control for mean-field stochastic partial differential equations (stochastic evolution equations) driven by a Brownian motion and an independent Poisson random measure, in case of partial information control. One important novelty of our problem is represented by the introduction of general mean-field operators, acting on both the controlled state process and the control process. We first formulate a sufficient and a necessary maximum principle for this type of control. We then prove the existence and uniqueness of the solution of such general forward and backward mean-field stochastic partial differential equations. We finally apply our results to find the explicit optimal control for an optimal harvesting problem.
Original language | English |
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Number of pages | 38 |
Journal | Journal of Optimization Theory and Applications |
Volume | 176 |
Issue number | 3 |
Early online date | 20 Feb 2018 |
DOIs | |
Publication status | E-pub ahead of print - 20 Feb 2018 |