Recursive Filtering for Time-Varying Systems With Random Access Protocol
Recursive Filtering for Time-Varying Systems With Random Access Protocol
复制标题
使用随机访问协议的时变系统的递归过滤
DOI：
10.1109/tac.2018.2833154
复制
发表时间：
2019-02
影响因子：
6.8
通讯作者：
Zhou Donghua
中科院分区：
文献类型：
--
作者：
Zou Lei;Wang Zidong;Han Qing-Long;Zhou Donghua
本文关注一类受随机接入协议（RAP）调度的网络化线性时变系统的递归滤波问题。传感器节点与远程滤波器之间的通信得以实现。
This paper is concerned with the recursive filtering problem for a class of networked linear time-varying systems subject to the scheduling of the random access protocol (RAP). The communication between the sensor nodes and the remote filter is implemented via a shared network. For the purpose of preventing the data from collisions, only one sensor node is allowed to get access to the network at each time instant. The transmission order of sensor nodes is orchestrated by the RAP scheduling, under which the selected nodes obtaining access to the network could be characterized by a sequence of independent and identically-distributed variables. The aim of the addressed filtering problem is to design a recursive filter such that the filtering error covariance could be minimized by properly designing the filter gain at each time instant. The desired filter gain is calculated recursively by solving two Riccati-like difference equations. Furthermore, the boundedness issue of the corresponding filtering error covariance is investigated. Sufficient conditions are obtained to ensure the lower and upper bounds of the filtering error covariance. Two illustrative examples are given to demonstrate the correctness and effectiveness ofour developed recursive filtering approach.
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影响因子：
6.4
作者：
Hu, Jun;Wang, Zidong;Stergioulas, Lampros K.
通讯作者：
Stergioulas, Lampros K.
影响因子：
6.8
作者：
M. Donkers;L. Hetel;W. Heemels;N. Wouw;M. Steinbuch;R. Majumdar;P. Tabuada
通讯作者：
M. Donkers;L. Hetel;W. Heemels;N. Wouw;M. Steinbuch;R. Majumdar;P. Tabuada
影响因子：
0.5
作者：
Tristan Needham
通讯作者：
Tristan Needham
DOI：
10.1016/j.automatica.2012.02.029
发表时间：
2010-07
期刊：
Proceedings of the 2010 American Control Conference
影响因子：
--
作者：
M. Donkers;W. M. Heemels;Daniele Bernardini;A. Bemporad;V. Shneer
通讯作者：
M. Donkers;W. M. Heemels;Daniele Bernardini;A. Bemporad;V. Shneer
影响因子：
6.8
作者：
Lei Zou;Zidong Wang;Jun Hu;Huijun Gao
通讯作者：
Lei Zou;Zidong Wang;Jun Hu;Huijun Gao