Adaptive sliding mode observer for nonlinear stochastic systems with uncertainties

摘要：

It is presented,in this paper,a novel adaptive sliding mode observer (ASMO) for reconstructing the states of nonlinear stochastic systems with structure uncertainties,parameter perturbations and external disturbances which is presented in the It?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.A simulation studies are made on computer with MatLab for reconstructing the states of Lorenz chaotic attractor with uncertainties and polluted by noises,and the simulation results verify the effectiveness of the proposed observation strategy.

关键词： adaptive observer sliding mode scheme nonlinear stochastic systems It?differential equations.

作者: Feng Qiao Quanmin Zhu Hua Zhang Ya Zhang

作者单位: Faculty of Information and Control Engineering,Shenyang Jianzhu University,9 Hunnan East Road,Hunnan Faculty of Computing,Engineering and Mathematical Sciences,University of the West of England,Frencha

会议类型: 国际会议

会议名称: International Conference on Modelling,Identification and Control(模拟、鉴定、控制国际会议)

会议地点: 上海

会议语种:英文

在线出版日期: 2008-06-29（万方平台首次上网日期，不代表论文的发表时间）