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
Journal Title
Journal ISSN
Volume Title
Publisher
INDERSCIENCE ENTERPRISES LTD
Open Access Color
Green Open Access
Yes
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Publicly Funded
No
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.
Description
ORCID
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
Citation
WoS Q
Scopus Q

OpenCitations Citation Count
N/A
Source
International Journal of Modelling, Identification and Control
Volume
31
Issue
3
Start Page
245
End Page
258
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Scopus : 2
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2
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2
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