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Linear Quadratic Optimal Control Problems for Mean-Field Backward Stochastic Differential Equations
Li, Xun1; Sun, Jingrui2; Xiong, Jie3,4
2019-08-15
Source PublicationApplied Mathematics and Optimization
ISSN0095-4616
Volume80Issue:1Pages:223-250
Abstract

This paper is concerned with linear quadratic optimal control problems for mean-field backward stochastic differential equations (MF-BSDEs, for short) with deterministic coefficients. The optimality system, which is a linear mean-field forward–backward stochastic differential equation with constraint, is obtained by a variational method. By decoupling the optimality system, two coupled Riccati equations and an MF-BSDE are derived. It turns out that the coupled two Riccati equations are uniquely solvable. Then a complete and explicit representation is obtained for the optimal control.

KeywordDecoupling Linear Quadratic Optimal Control Mean-field Backward Stochastic Differential Equation Optimality System Riccati Equation
DOI10.1007/s00245-017-9464-7
URLView the original
Language英語English
WOS IDWOS:000475519000008
Scopus ID2-s2.0-85037373037
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Document TypeJournal article
CollectionUniversity of Macau
Affiliation1.Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong
2.Department of Mathematics, National University of Singapore, Singapore, 119076, Singapore
3.Department of Mathematics, University of Macau, Macao
4.Department of Mathematics, South University of Science and Technology of China, Shenzhen, China
Recommended Citation
GB/T 7714
Li, Xun,Sun, Jingrui,Xiong, Jie. Linear Quadratic Optimal Control Problems for Mean-Field Backward Stochastic Differential Equations[J]. Applied Mathematics and Optimization, 2019, 80(1), 223-250.
APA Li, Xun., Sun, Jingrui., & Xiong, Jie (2019). Linear Quadratic Optimal Control Problems for Mean-Field Backward Stochastic Differential Equations. Applied Mathematics and Optimization, 80(1), 223-250.
MLA Li, Xun,et al."Linear Quadratic Optimal Control Problems for Mean-Field Backward Stochastic Differential Equations".Applied Mathematics and Optimization 80.1(2019):223-250.
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