On Peng's type maximum principle for optimal control of mean-field stochastic differential equations with jump processes

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Date

2019

Authors

Shahlar Meherrem
Mokhtar Hafayed
Syed Abbas

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INDERSCIENCE ENTERPRISES LTD

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Green Open Access

Yes

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Abstract

In this paper we investigate the Peng's type optimal control problems for stochastic differential equations of mean-field type with jump processes. The coefficients of the system contain not only the state process but also its marginal distribution through their expected values. We assume that the control set is a general open set that is not necessary convex. The control variable is allowed to enter into both diffusion and jump terms. We extend the maximum principle of Buckdahn et al. (2011) to jump case.

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Keywords

mean-field jump systems, stochastic optimal control, Peng's maximum principle, spike variation method, second-order adjoint equation, Poisson martingale measure, SUFFICIENT CONDITIONS, SINGULAR CONTROL, SYSTEMS, DELAY, INFORMATION, DRIVEN, Stochastic Optimal Control, Mean-Field Jump Systems, Second-Order Adjoint Equation, Spike Variation Method, Peng’s Maximum Principle, Poisson Martingale Measure

Fields of Science

0209 industrial biotechnology, 02 engineering and technology

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Source

International Journal of Modelling, Identification and Control

Volume

31

Issue

3

Start Page

245

End Page

258
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