A Separation Theorem for Stochastic Singular Linear Quadratic Control Problem with Partial Information

被引:19
|
作者
Ma, Hong-ji [1 ,2 ]
Hou, Ting [1 ]
机构
[1] Shandong Univ Sci & Technol, Coll Sci, Qingdao, Peoples R China
[2] Beijing Univ Aeronaut & Astronaut, Dept Syst & Control, Beijing, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
singular optimal control; Kalman-Bucy filtering; separation theorem; linear systems; generalized differential Riccati equation;
D O I
10.1007/s10255-013-0218-2
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, we provide a separation theorem for the singular linear quadratic (LQ) control problem of Ito-type linear systems in the case of the state being partially observable. Above all, the Kalman-ucy filtering of the dynamics is given by means of Girsanov transformation, by which the suboptimal feedback control of the LQ problem is determined. Furthermore, it is shown that the well-posedness of the LQ problem is equivalent to the solvability of a generalized differential Riccati equation (GDRE).
引用
收藏
页码:303 / 314
页数:12
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