文献类型：会议论文

英文题名：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]E China Univ Sci & Technol, Dept Automat, Shanghai 200237, Peoples R China

会议论文集：30th Chinese Control Conference

会议日期：JUL 22-24, 2011

会议地点：Yantai, PEOPLES R CHINA

语种：英文

外文关键词：Adaptive Control; Neural Networks (NN); Backstepping; Nussbaum Gain Functions (NGFs); Stochastic Pure-Feedback Systems

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 verified by simulation results.