收稿日期: 2012-02-01
修回日期: 2012-04-25
网络出版日期: 2012-04-25
基金资助
Supported by the National Natural Science Foundation of China (61074050, 61203034, 50905172), and the Youth Talent Fund of Anhui Education Department (2012SQRL086ZD)
Compensation for the stochastic delays in networked control systems
Received date: 2012-02-01
Revised date: 2012-04-25
Online published: 2012-04-25
Supported by
Supported by the National Natural Science Foundation of China (61074050, 61203034, 50905172), and the Youth Talent Fund of Anhui Education Department (2012SQRL086ZD)
在网络化控制系统中引入离散隐马尔可夫模型,建立网络状态与控制器-执行器时延之间的概率模型.网络化控制系统被建模成一个马尔可夫跳变线性系统,并预测出当前采样周期内的控制器-执行器时延.使用该预测值设计一个状态反馈控制器,实现对控制器-执行器时延的补偿.对比仿真实验验证了所提方法的优越性.
关键词： 网络化控制系统; 离散隐马尔可夫模型; 马尔可夫跳变线性系统; 状态反馈控制
葛愿 , 丛爽 , 尚伟伟 . 网络化控制系统随机时延的补偿研究[J]. 中国科学院大学学报, 2013 , 30(2) : 179 -186 . DOI: 10.7523/j.issn.1002-1175.2013.02.006
The discrete-time hidden Markov model is employed to model the probabilistic relation between the network states and the controller-to-actuator (C-A) delays in networked control systems (NCSs). The NCS is modeled as a Markovian jump linear system and the C-A delay in the current sampling period is predicted. By taking the prediction into account, a state-feedback controller is designed to compensate for the stochastic C-A delays. The superiority of the proposed method is demonstrated by the comparative simulation experiments.
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