Adaptive observer-based non-linear stochastic system control with sliding mode schemes

被引：5
|
作者：
Qiao, F. [2 ]
Zhu, Q. M. [1 ]
Liu, J. [2 ]
Zhang, F. [2 ]
机构：
[1] Univ W England, Fac Comp Engn & Math Sci, Bristol BS16 1QY, Avon, England
[2] Shenyang Jianzhu Univ, Fac Informat & Control Engn, Liaoning, Peoples R China
来源：
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING | 2008年 / 222卷 / I7期
关键词：
adaptive observer; stochastic system control; sliding mode scheme; Ito differential equation;
D O I：
10.1243/09596518JSCE585
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 this paper, an adaptive sliding mode observer is designed to reconstruct the states of non-linear stochastic systems with uncertainties from the measurable system output and the reconstructed states are employed to construct a sliding mode controller for the stabilization control of complex non-linear systems. It takes the advantages of the sliding mode schemes to design both the observer and the controller. The convergence of the observer and the globally asymptotical stability of the controller are analysed in terms of stochastic Lyapunov stability, and the effectiveness of the control strategy is verified with numerical simulation studies.
引用
收藏
页码：681 / 690
页数：10
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