基于径向基函数神经网络的非线性系统预测控制

Predictive Control of Nonlinear System Based on RBF Neural Network

以某厂羟胺反应器的氢离子浓度控制为例 ,介绍了径向基函数 (RBF)神经网络在强非线性对象预测控制中的应用及仿真研究结果。

The application of RBF neural network in hardy nonlinear system and the result of simulation is introduced. An example of pH control in hydroxylamine reactor is described.