基于ARIMA的NCS随机时延预测Predicting NCS Stochastic Delay Based on ARIMA
徐旺;葛愿;王炎;
摘要(Abstract)：
提出一种基于自回归求和滑动平均(Autoregressive Intergrated Moving Average,ARIMA)模型预测网络化控制系统(Networked Control System,NCS)随机时延的方法,对随机时延序列进行数据预处理,建立模型进行预测,同时进行了理论推导和仿真实验.结果表明,采用ARIMA模型可对NCS随机时延准确预测,并与基于ARMA模型的预测结果进行比较,预测精度得到了提高.
关键词(KeyWords)： NCS随机时延;自回归求和滑动平均;时延预测
基金项目(Foundation): 安徽省自然科学基金资助项目(1308085QF120)
作者(Author): 徐旺;葛愿;王炎;
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DOI:
参考文献(References)：
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