文章基本信息

标题：Neural Network Adaptive Control for a Class of Matched SISO Nonlinear Uncertain Systems With Zero Dynamics
本地全文：下载
作者：Hu, Hui ; Guo, Peng
期刊名称：Journal of Computers
印刷版ISSN：1796-203X
出版年度：2012
卷号：7
期号：6
页码：1490-1496
DOI：10.4304/jcp.7.6.1490-1496
语种：English
出版社：Academy Publisher
摘要：The paper presents a direct adaptive tracking control scheme for a class of matched SISO affine nonlinear uncertain systems with zero dynamic using neural network. Through neural network approximation, neural network is used as the emulator of the unknown ideal controller. A quadratic cost function of the error between the unknown ideal controller and the used neural network controller is minimized using a gradient descent method to adjust parameters in neural network. The convergence of parameters and the uniformly ultimately boundedness of tracking error and all states of the closed-loop system are guaranteed based on Lyapunov stability theorem. The effectiveness of the proposed controller is illustrated through the simulation results.
关键词：tracking control;matched uncertain nonlinear;gradient descent method;neural network;zero dynamic