| 网络化控制系统两种时延预测算法及其比较 |
| |
| 引用本文： | 李春茂肖建张玥. 网络化控制系统两种时延预测算法及其比较[J]. 计算机应用, 2007, 27(2): 257-260 |
| |
| 作者姓名： | 李春茂肖建张玥 |
| |
| 作者单位： | 西南交通大学电气工程学院,四川,成都,610031;西南交通大学电气工程学院,四川,成都,610031;西南交通大学电气工程学院,四川,成都,610031 |
| |
| 基金项目： | 国家自然科学基金 , 高等学校博士学科点专项科研项目 , 四川省应用基础研究计划 |
| |
| 摘 要： | 针对网络化控制系统（NCS）中的随机时变时延,提出了两种时延预测算法——自适应最小均方差（LMS）算法和在线最小二乘支持向量机（LS-SVM）算法，对其进行预测，并用实际测试得到的网络时延数据，对两种算法的时延预测效果进行了详细分析比较，指出了各自的特点和适用范围。
|
| 关 键 词： | 网络化控制系统 时延估计 自适应AR模型 自适应LMS算法 最小二乘 支持向量机 |
| 文章编号： | 1001-9081（2007）02-0257-04 |
| 收稿时间： | 2006-08-16 |
| 修稿时间： | 2006-08-172006-10-30 |
Comparison of two predictive algorithms for time delay in networked control systems |
| |
| LI Chun-mao,XIAO Jian,ZHANG Yue. Comparison of two predictive algorithms for time delay in networked control systems[J]. Journal of Computer Applications, 2007, 27(2): 257-260 |
| |
| Authors: | LI Chun-mao XIAO Jian ZHANG Yue |
| |
| Affiliation: | School of Electrical Engineering, Southwest Jiaotong University, Chengdu Sichuan 610031, China |
| |
| Abstract: | In order to estimate random communication time delay in Networked Control Systems (NCS), two algorithms, a Least Mean Square (LMS) adaptive algorithm and a Least Square Support Vector Machines (LS-SVM) based online predictive algorithm, were proposed in this paper for the time delay estimation and prediction in NCS respectively. Based on more than 1.7 million real time-delay data, obtained from a six months' internet time-delay test, detailed performance evaluation and comparison were made for the two proposed algorithms. The results show that the LMS adaptive algorithm takes less calculation time in time-delay estimation, while the LS-SVM algorithm can achieve a more accurate estimation. |
| |
| Keywords: | Networked Control Systems (NCS) time delay estimation adaptive AR model adaptive LMS algorithm least square Support Vector Machines (SVM) |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《计算机应用》浏览原始摘要信息 |
|
点击此处可从《计算机应用》下载全文 |
