Optimal Covariance Control for Stochastic Systems Under Chance Constraints

被引:90
作者
Okamoto, Kazuhide [1 ]
Goldshtein, Maxim [1 ]
Tsiotras, Panagiotis [1 ,2 ]
机构
[1] Georgia Inst Technol, Sch Aerosp Engn, Atlanta, GA 30332 USA
[2] Georgia Inst Technol, Inst Robot & Intelligent Machines, Atlanta, GA 30332 USA
来源
IEEE CONTROL SYSTEMS LETTERS | 2018年 / 2卷 / 02期
关键词
Stochastic systems; stochastic optimal control; uncertain systems;
D O I
10.1109/LCSYS.2018.2826038
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This letter addresses the optimal covariance control problem for stochastic discrete-time linear systems subject to chance constraints. To the best of our knowledge, covariance steering problems with probabilistic chance constraints have not been discussed previously in the literature, although their treatment seems to be a natural extension. In this letter, we first show that, unlike the case with no chance constraints, the covariance steering problem with chance constraints cannot be decoupled to mean and covariance steering sub-problems. We then propose an approach to solve the covariance steering problem with chance constraints by converting it to a convex programming problem. The proposed algorithm is verified using a numerical example.
引用
收藏
页码:266 / 271
页数:6
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