介绍如何用较复杂的方法去优化对负载具有感知特性的“黑匣子”模型的神经网络控制。-Shows how to use the complex method to optimize a black-box neural network model of a load-sensing

常规PID解耦控制器实现的国产某300MW直流燃煤机组解耦控制-Conventional PID controller to achieve decoupling of the DC made a 300MW coal-fired units Decoupling Control

基于RBF神经网络辨识的单神经元PID模型参考自适应控制 -Based on RBF Neural Network Identification of single neuron PID model reference adaptive control based on RBF Neural Network Identification of single neuron PID model reference adaptive control