具有时延的网络控制系统

Network Control System with Time Delay

在网络控制系统中,时延的不确定性和随机性导致系统不能达到理想的控制效果。针对该问题,提出基于灰色神经网络和广义预测控制的网络控制系统。该系统采用灰色理论和神经网络相结合的方式,通过建立灰色神经网络算法,利用其预测的误差值对广义预测控制算法的预测值进行修正。仿真结果表明,在具有时延的网络控制系统中,灰色神经网络算法修正的广义预测控制算法可以获得较好的控制效果,使系统的稳定性更强。

In network control system, the uncertainty and randomness of time delay may lead to the system cannot achieve idea control effect. To solve this problem, the network control system based on grey neural network and generalized predictive control is proposed. The system combines the grey theory and neural network, through establishing grey neural network algorithm, and using its prediction error value to correct the predicted value of the generalized predictive control algorithm. The results of simulation show that in network control system with time delay, the generalized predictive control algorithm corrected by gray neural network algorithm can obtain better control effects and higher stability.