On mean square boundedness of stochastic linear systems with bounded controls

被引:30
作者
Chatterjee, Debasish [1 ]
Ramponi, Federico [2 ]
Hokayem, Peter [2 ]
Lygeros, John [2 ]
机构
[1] Indian Inst Technol, Bombay 400076, Maharashtra, India
[2] ETH, Automat Control Lab, ETL 128, CH-8092 Zurich, Switzerland
基金
瑞士国家科学基金会;
关键词
Stochastic control; Constrained control; Linear systems; STABILIZATION; FEEDBACK;
D O I
10.1016/j.sysconle.2011.12.002
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We start by summarizing the state of the art in stabilization of stochastic linear systems with bounded inputs and highlight remaining open problems. We then report two new results concerning mean-square boundedness of a linear system with additive stochastic noise. The first states that, given any nonzero bound on the controls, it is possible to construct a policy with bounded memory requirements that renders a marginally stable stabilizable system mean-square bounded in closed-loop. The second states that it is not possible to ensure mean-square boundedness in closed-loop with a bounded control policy for systems affected by unbounded noise and having at least one eigenvalue outside the unit circle. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:375 / 380
页数:6
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