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A Mean-Field Game for a Forward-Backward Stochastic System With Partial Observation and Common Noise

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摘要 This paper considers a linear-quadratic(LQ) meanfield game governed by a forward-backward stochastic system with partial observation and common noise,where a coupling structure enters state equations,cost functionals and observation equations.Firstly,to reduce the complexity of solving the meanfield game,a limiting control problem is introduced.By virtue of the decomposition approach,an admissible control set is proposed.Applying a filter technique and dimensional-expansion technique,a decentralized control strategy and a consistency condition system are derived,and the related solvability is also addressed.Secondly,we discuss an approximate Nash equilibrium property of the decentralized control strategy.Finally,we work out a financial problem with some numerical simulations.
出处 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2024年第3期746-759,共14页 自动化学报(英文版)
基金 supported by the National Key Research and Development Program of China(2022YFA1006103,2023YFA1009203) the National Natural Science Foundation of China(61925306,61821004,11831010,61977043,12001320) the Natural Science Foundation of Shandong Province(ZR2019ZD42,ZR2020ZD24) the Taishan Scholars Young Program of Shandong(TSQN202211032) the Young Scholars Program of Shandong University。
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