摘要
本文提出了一种利用BP神经网络进行在线自整定的模糊史密斯预估控制系统,该系统结合了BP神经网络、模糊控制、史密斯预估控制的优点,通过仿真实验表明,这种控制方法对具有大滞后性,时变性,干扰因素不确定性的系统有较好的控制效果。
A fuzzy-Smith estimation control system is introduced in this paper which parameters turned by BP neural network.This control system combined the advantages of BP neural network,filzzy control and Smith estimation control.From the simulation we find this control system is very satisfying for the system which has large lag ,time-change characteristic and the interference factor is uncertain.
出处
《微计算机信息》
北大核心
2008年第20期257-258,309,共3页
Control & Automation