摘要
采用将支持向量机-模糊预测控制应用于列车自动控制系统的方法,解决了目前列车自动控制中,启动控制过程平稳性不高的问题.首先给出模糊预测控制的有限样本的预测学习方法.在此基础上,设计了基于支持向量机-模糊预测控制方法,并把该方法应用于列车的启动控制过程中,通过仿真实验验证了改进的有效性.
The problem of low stability in train＇s start-up process is solved by the approach of automatic control based on SVM and intelligent decision. In this paper, an intelligent decision control algorithm with limited samples is proposed firstly. On the basis of that,a control way is came up with, which is used in the process of train＇s start-up and verified by simulation.
出处
《兰州交通大学学报》
CAS
2006年第1期104-106,共3页
Journal of Lanzhou Jiaotong University
