Adaptive Neural Control for a Class of Stochastic Nonlinear Pure-feedback Systems with Unknown Control Direction
This paper addresses a class of uncertain stochastic nonlinear pure-feedback systems with unknown control direction. With using the decoupled backstepping technique,adaptive neural control schemes are designed to solve the stabilization problem of such systems. Stability analysis is presented to guarantee that all the error variables are semi-globally ultimately bounded with desired probability in a compact set. The effectiveness of the proposed design is veri.ed by simulation results.
YU Zhaoxu LUO Jianxu DU Hongbin
Department of Automation,East China University of Science and Technology,Shanghai 200237,P.R.China
国际会议
The 30th Chinese Control Conference(第三十届中国控制会议)
烟台
英文
1-6
2011-07-01（万方平台首次上网日期，不代表论文的发表时间）