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A Mean-Field Game for a Forward-Backward Stochastic System With Partial Observation and Common Noise
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作者 Pengyan Huang Guangchen Wang +1 位作者 Shujun Wang Hua Xiao 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2024年第3期746-759,共14页
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 ... 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. 展开更多
关键词 Decentralized control strategy ϵ-nash equilibrium forward-backward stochastic system mean-field game partial observation
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