神经元控制与两种优化控制方法的比较

A Comparison among Neuron Control and the Two Optimal Design Control Methods

本文通过实例设计和实验研究，对神经元控制、最优ＰＩＤ控制和Ｈ∞最优控制这三种优化控制方法进行了系统的比较，结果表明作者提出的神经元智能控制方法，具有很强的适应性和鲁棒性，尤其是对受控对象变化的强鲁棒性和对采样周期变化的强鲁棒性。

Abstract From the viewpoint of engineering practice,through studies with an ex-ample and experiments,the three methods-optimal PID control,H∞ optimal control,neuroncontrol are compared systematically in this paper. The resuIts indicate that the neuron con-trol method suggested by the author has very good robustness and adaptability,espcially in:1. strong robustness to the changes of a plant,2.strong robustness to the changes of thesampling period. And this new controller is model-free,very simple and shows the best ad-justment and tracking characteristics.Thus,it is very useful for wide applications.