Linear-Quadratic Optimal Control Problems for Mean-Field Stochastic Differential Equation with Lévy Process

Hong Xiong, Maoning Tang, Qingxin Meng

Communications on Applied Mathematics and Computation ›› 2022, Vol. 4 ›› Issue (4) : 1386-1415.

Communications on Applied Mathematics and Computation ›› 2022, Vol. 4 ›› Issue (4) : 1386-1415. DOI: 10.1007/s42967-021-00181-y
Original Paper

Linear-Quadratic Optimal Control Problems for Mean-Field Stochastic Differential Equation with Lévy Process

Author information +
History +

Abstract

This paper investigates a linear-quadratic mean-field stochastic optimal control problem under both positive definite case and indefinite case where the controlled systems are mean-field stochastic differential equations driven by a Brownian motion and Teugels martingales associated with Lévy processes. In either case, we obtain the optimality system for the optimal controls in open-loop form, and by means of a decoupling technique, we obtain the optimal controls in closed-loop form which can be represented by two Riccati differential equations. Moreover, the solvability of the optimality system and the Riccati equations are also obtained under both positive definite case and indefinite case.

Cite this article

Download citation ▾
Hong Xiong, Maoning Tang, Qingxin Meng. Linear-Quadratic Optimal Control Problems for Mean-Field Stochastic Differential Equation with Lévy Process. Communications on Applied Mathematics and Computation, 2022, 4(4): 1386‒1415 https://doi.org/10.1007/s42967-021-00181-y
Funding
National Natural Science Foundation of China(11871121); Natural Science Foundation of Zhejiang Province(LY21A010001); Natural Science Foundation of Zhejiang Province(Z22A013952)

Accesses

Citations

Detail

Sections
Recommended

/