摘要
提出了一种基于对象正向模型的神经网络自适应控制算法，它将神经网络与优化方法相结合，对控制量进行优化迭代求解．仿真表明，应用该算法后，系统响应速度快，越调量小，无稳态误差，控制效果好．
A new adaptive control scheme based on neural network is proposed. It combines neural network with optimum method to solve the control law. It is shown by simulation that using this algorithm, the system responses fast and has small overshoot without steady error. The simulation results have verified the effectiveness of these algorithms.
出处
《沈阳工业大学学报》
CAS
2000年第4期343-345,共3页
Journal of Shenyang University of Technology
基金
沈阳市自然科学基金!(6904004)
