A Linear-Quadratic Optimal Control Problem For Mean-Field Stochastic Differential Equations In Infinite Horizon
Keywords
Linear-quadratic optimal control; Mean-field stochastic differential equation; MF-stabilizability; Riccati equation
Abstract
A linear-quadratic (LQ, for short) optimal control problem is considered for mean-field stochastic differential equations with constant coefficients in an infinite horizon. The stabilizability of the control system is studied followed by the discussion of the well-posedness of the LQ problem. The optimal control can be expressed as a linear state feedback involving the state and its mean, through the solutions of two algebraic Riccati equations. The solvability of such kind of Riccati equations is investigated by means of semi-definite programming method.
Publication Date
1-1-2015
Publication Title
Mathematical Control and Related Fields
Volume
5
Issue
1
Number of Pages
97-139
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.3934/mcrf.2015.5.97
Copyright Status
Unknown
Socpus ID
84921765673 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84921765673
STARS Citation
Huang, Jianhui; Li, Xun; and Yong, Jiongmin, "A Linear-Quadratic Optimal Control Problem For Mean-Field Stochastic Differential Equations In Infinite Horizon" (2015). Scopus Export 2015-2019. 1248.
https://stars.library.ucf.edu/scopus2015/1248