随机时滞网络控制系统的后退时域估计  

Receding horizon estimation for networked control systems with random transmission delays

作　　者：李超超 韩春艳 何芳[1] LI Chao-chao;HAN Chun-yan;HE Fang(School of Electrical Engineering,University of Jinan,Jinan Shandong 250022,China)

机构地区：[1]济南大学自动化与电气工程学院,山东济南250022

出　　处：《控制理论与应用》2020年第5期1118-1126,共9页Control Theory & Applications

基　　金：Supported by the National Natural Science Foundation of China(61573220,U1806204);the Postdoctoral Science Foundation of China(2017M 622231).

摘　　要：本文考虑具有随机观测时滞系统的后退时域估计问题.首先,针对随机时滞网络控制系统,运用观测重组技术,将带有时滞的观测方程转化为无时滞观测方程,得到一组新的无时滞观测序列.在此基础上,运用线性最小方差无偏估计理论,推导出后退时域估计器的批形式公式和迭代形式公式,并给出稳定性分析.通过具体的仿真实例,对比现有卡尔曼滤波器,验证了所提出的后退时域估计器具有更好的跟踪能力.This paper is concerned with the receding horizon estimation problem for discrete-time systems with random delayed observations. Firstly, the random delay system is reconstructed as an equivalent delay-free one by measurement reorganization technique. Secondly, a batch form and a recursive form for receding horizon estimation are proposed on the basis of the new changed system and by minimizing a new cost function that includes two terminal weighting terms. Then based on the derived condition, the stability of the proposed receding horizon estimation is proved. Finally, a numerical example is given for illustration.

关 键 词：后退时域估计 稳定性分析 随机时滞观测 观测重组 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]