Adaptive sliding mode observer for non-linear stochastic systems with uncertainties

被引：2

作者：

Qiao, Feng ^{[1
]}

Zhang, Ya ^{[1
]}

Zhu, Quanmin ^{[2
]}

Zhang, Hua ^{[3
]}

机构：

[1] Faculty of Information and Control Engineering, Shenyang Jianzhu University, Shenyang, Liaoning 110168

[2] Bristol Institute of Technology, University of the West of England, Bristol BS16 1QY, Coldharbour Lane

[3] Dalian Sub-Institute, China Northeast Municipal Engineering Design and Research Institute, Dalian E and T Development Zoom, Dalian, Liaoning 130021

来源：

International Journal of Modelling, Identification and Control | 2009年 / 8卷 / 01期

关键词：

Adaptive observer; Itô differential equations; Non-linear stochastic systems; Sliding mode scheme;

D O I：

10.1504/IJMIC.2009.028870

中图分类号：

学科分类号：

摘要：

It is presented, in this paper, a novel adaptive sliding mode observer (ASMO) for reconstructing the states of non-linear stochastic systems with structure uncertainties, parameter perturbations and external disturbances which is presented in the Ito differential equations. The proposed ASMO uses sliding mode technique to guarantee the robustness of observation, and an adaptive law is employed to update the sliding mode gain. The estimation error of the proposed observer is theoretically proved to be mean square exponentially convergent to a limited bound. Simulation study is made on computer with MatLab for reconstructing the states of Lorenz chaotic attractor disturbed with uncertainties and polluted with noises, and the simulation results verify the effectiveness of the proposed observation strategy. Copyright © 2009, Inderscience Publishers.

引用

页码：18 / 24

页数：6

共 23 条

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