引用本文:杨园华,韩春艳,刘晓华.有界随机测量时滞的网络控制系统的最优估计[J].控制理论与应用,2014,31(2):181~187.[点击复制]
YANG Yuan-hua,HAN Chun-yan,LIU Xiao-hua.Optimal estimation for networked control systems with bounded random measurement delays[J].Control Theory and Technology,2014,31(2):181~187.[点击复制]
有界随机测量时滞的网络控制系统的最优估计
Optimal estimation for networked control systems with bounded random measurement delays
摘要点击 2582  全文点击 1450  投稿时间:2012-05-05  修订日期:2013-11-10
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DOI编号  10.7641/CTA.2014.12097
  2014,31(2):181-187
中文关键词  最优估计  随机测量时滞  网络控制系统  新息分析法  Riccati方程
英文关键词  optimal estimation  random measurement delays  networked control systems  innovation analysis  Riccati equation
基金项目  
作者单位E-mail
杨园华* 鲁东大学 数学与统计科学学院 theonlyyang@163.com 
韩春艳 济南大学电子工程学院  
刘晓华 鲁东大学 数学与统计科学学院  
中文摘要
      在假设测量没有丢包的情况下, 研究了带有随机测量时滞的网络控制系统的最优估计问题. 利用已知的时 滞分布概率, 建立新的模型来描述随机时滞测量. 进一步将带有时滞的测量等价成每个通道是单时滞的多通道测 量, 从而利用新息重组方法, 通过求解黎卡提方程求解最优估计器. 最后给出仿真实例验证了该算法的有效性.
英文摘要
      The optimal estimation problem is studied for networked control systems subject to random measurement delays and without packet loss. With the given probability distribution of the delays, a new model is proposed to describe the delay measurements. In order to solve the estimation problem, the measurement model with delays is written as an equivalent multiple channel measurement with each channel has a single constant delay. The optimal estimator is derived by using a reorganized innovation analysis approach, and is given in terms of Riccati difference equations. A simulation example illustrates the efficiency of the proposed method.