基于神经网络的一类非线性系统的稳定自适应控制器设计方法*

A Design Approach of Neural Network-Based Stable Adaptive Controller for a Class of Nonlinear Systems

中文关键词  自适应控制  非线性系统  稳定性  神经网络

英文关键词  adaptive control  nonlinear systems  stability  neural network

中文摘要

      针对一类非线性连续时间系统，其中非线性函数未知，提出了一种基于神经网络的稳定自适应控制方案．由于控制律的选择基于Lyapunov稳定性理论，因此，该控制方案不仅能够解决这类非线性系统的跟踪问题，而且使得整个闭环系统渐近稳定，克服了许多神经网络控制系统中存在的稳定性问题，仿真结果表明了算法的有效性．

英文摘要

      This paper proposes a design scheme of neural network-based stable adaptive controller for a class of nonlinear continuous systems with unknown nonlinear function.Due to the fact that the control law is derived based on the stability theory of Lyapunov,the scheme can not only solve the tracking problem of the class of nonlinear systems,but also can it guarantee the asymptotic stability of the closed systems which is supenor to many neural network-based control schemes.The effectiveness of the proposed scheme is demonstrated by simulation.