文献类型：会议论文

中文题名：Adaptive Neural Control for a Class of Stochastic Nonlinear Pure-feedback Systems with Unknown Control Direction

作者：YU Zhaoxu[1];LUO Jianxu[1];DU Hongbin[1];

机构：[1]Department of Automation,East China University of Science and Technology,Shanghai 200237,P.R.China;

会议论文集：The 30th Chinese Control Conference(第三十届中国控制会议)论文集

会议日期：20110701

会议地点：烟台

主办单位：中国自动化学会

语种：英文

摘要：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.