Observer-based controller design for stochastic descriptor systems with Brownian motions

被引:86
作者
Gao, Zhiwei [1 ]
Shi, Xiaoyan [2 ]
机构
[1] Northumbria Univ, Sch Comp Engn & Informat Sci, Newcastle Upon Tyne NE1 8ST, Tyne & Wear, England
[2] Huawei Technol Co Ltd, MBB Res Dept, Beijing 1000959, Peoples R China
关键词
Descriptor systems; Stochastic systems; Ito formula; Observer-based controller;
D O I
10.1016/j.automatica.2013.04.001
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In the paper, a complete proof of the properness and mean-square exponential stability for stochastic Brownian systems is firstly addressed, which lays a solid foundation for system analysis and control synthesis for this kind of stochastic systems. Observer-based controller for the descriptor system with Brownian motions is then investigated. It is noticed that the system dynamics and observer dynamics are both subjected to state Brownian fluctuation, which makes it challenging either to design observer gain and controller gain simultaneously or design the observer and control gains by using a complete separation design technique. A sequential design technique is proposed to calculate the control and observer gains by solving linear matrix inequalities. The proposed design methods are readily extended to the case for stochastic descriptor systems with multiple Brownian motions. A numerical example is finally given to illustrate the design techniques, and simulated results have demonstrated the efficiency. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2229 / 2235
页数:7
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