A general maximum principle for progressive optimal control of fully coupled forward-backward stochastic systems with jumps

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Authors: Bin Wang, Yu Si, Jingtao Shi
Cited by: 0
References: 37

Abstract

This paper is concerned with a general maximum principle for the fully coupled forward-backward stochastic optimal control problem with jumps, where the control domain is not necessarily convex, within the progressively measurable framework. A distinct feature in this paper is that the solution Z of BSDEPs could include the variable ‘e’, further, the diffusion term of BSDEPs takes the form ∫EZ(t,e)ν (de) dWt rather than the conventional Zt dWt, reflecting the essential coupling between the solution component Z and the Polish space E. The theoretical results are applied to an autonomous driving problem for an electric vehicle navigating in a stochastic environment with both continuous disturbances and sudden jump events.

Fields of Study & Subjects

Aerospace Engineering and Control Systems

Publication details

Journal / source
International Journal of Control
Publisher
Informa UK Limited
Volume
99
Issue
10
Pages
1–23
Publication date
12 August 2026
Language
EN