Title :
Disturbance observer-based anti-disturbance control for a class of stochastic systems
Author :
Xinjiang, Wei ; Zhenkai, Guo ; Meiqin, Tang ; Xiaohua, Liu
Author_Institution :
School of Mathematics and Statistics Science, Ludong University, Yantai 264025, China
Abstract :
This paper proposes a disturbance observer-based anti-disturbance control strategy for a class of stochastic systems subject to two kinds of disturbances. One represents the stochastic disturbance with partially-known information. The other is an independent Wiener process. The stochastic disturbance observer can be constructed separately from the controller design to estimate the first kind of disturbance. Based on stochastic disturbance observer, a novel anti-disturbance control scheme is proposed to improve the ability of anti-disturbance for stochastic systems. A simulation example is given to demonstrate the effectiveness of the proposed method.
Keywords :
Control systems; Nonlinear systems; Observers; Robust control; Robustness; Stochastic processes; Stochastic systems; DOBC; Observer-Based Anti-Disturbance Control; stochastic disturbance observer; stochastic system;
Conference_Titel :
Control Conference (CCC), 2015 34th Chinese
Conference_Location :
Hangzhou, China
DOI :
10.1109/ChiCC.2015.7260077