华东理工大学学报：自然科学版2012，Vol.38Issue(2)：210-215,6.
具有输入时滞的随机非线性系统的自适应神经网络控制
Adaptive Neural Control for a Class of Stochastic Nonlinear Systems with Input Delay
摘要
Abstract
This paper considers the problem of adaptive neural control for a class of uncertain stochastic nonlinear systems with input delay.By defining the design variable with the input integral term,the input delayed system is converted to the non-delayed systems.And then,an adaptive neural control scheme is presented by combining the neural network approximation,integral mean value theorem and the decoupled backstepping technique.It is shown that the proposed controller can guarantee the 4-moment semi-globally uniformly ultimately boundedness for all the signals in the closed-loop system.Moreover,the tracking error can converge to a small neighborhood around the origin.A numerical example is given to illustrate the effectiveness of the control scheme.关键词
随机非线性系统/自适应控制/神经网络（NN）/Backstepping/输入时滞Key words
stochastic nonlinear systems/adaptive control/neural network(NN)/Backstepping/input delay分类
计算机与自动化引用本文复制引用
余昭旭..具有输入时滞的随机非线性系统的自适应神经网络控制[J].华东理工大学学报：自然科学版,2012,38(2):210-215,6.基金项目
国家自然科学基金项目 （）
上海市自然科学基金项目 （）
华东理工大学优秀青年教师科研专项基金 （）
