文献类型：期刊文献

英文题名：Adaptive neural control for a class of uncertain stochastic nonlinear systems with dead-zone

作者：Yu, Zhaoxu[1];Du, Hongbin[1]

机构：[1]E China Univ Sci & Technol, Dept Automat, Shanghai 200237, Peoples R China

年份：2011

卷号：22

期号：3

起止页码：500

外文期刊名：JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS

收录：;EI(收录号：20112614100200);WOS:【SCI-EXPANDED(收录号:WOS:000291746500020)】；

基金：This work was supported by the National Natural Science Foundation of China (60704013) and the Special Foundation of East China University of Science and Technology for Youth Teacher (YH0157134).

语种：英文

外文关键词：adaptive control; neural network (NN); backstepping; stochastic nonlinear system

摘要：The problem of adaptive stabilization is addressed for a class of uncertain stochastic nonlinear strict-feedback systems with both unknown dead-zone and unknown gain functions. By using the backstepping method and neural network (NN) parameterization, a novel adaptive neural control scheme which contains fewer learning parameters is developed to solve the stabilization problem of such systems. Meanwhile, stability analysis is presented to guarantee that all the error variables are semi-globally uniformly ultimately bounded with desired probability in a compact set. The effectiveness of the proposed design is illustrated by simulation results.