摘要
本文基于自学习神经元网络模型，建立了智能预测控制系统，给出了网络系统的算法，阐明了智能控制器的设计以及自学习机理。仿真结果表明，方法具有良好的动态特性和鲁棒性，适用于大滞后系统和非线性系统。
Based on the model of self-learning neural network,in this paper an intelligent predictive control system is set up and the algorithm of network systems is given. It also reveals the principle of designing and self-learning. The simulation shows that the method has better dynamics and robustness,and it is suitable for pure delay and nonlinear system.
关键词
预测控制
神经网络
智能控制
学习控制
predictive control
neural network
intelligent control
self-learning
