Smooth model switching scheme based on recurrent neural network model predictive control
基于递归神经网络模型预测控制的模型平稳切换

The control system of differ product conditions could be regarded as a multi-model control system. But model switching will result in transient response of the plant controlled. A method to establish multiples models of system using recurrent neural network and complete switch process based on model predictive control was proposed. Which avoid transient response of switch process and achieve model switching smoothly. Simulation performances indicate that the model switching scheme improve dynamic quality of switch process greatly.