Title :
Optimal filter design based on multiple buffered measurements
Author :
Zhu Ying ; Liang Yan ; Yan, Liang ; Pan Quan ; Zhang Xiaojing
Author_Institution :
Sch. of Autom., Northwestern Polytech. Univ., Xi´´an, China
Abstract :
In this paper, the considered system and its filter are geographically separated and connected via one unreliable media link with stochastic packet dropouts. Considering such situation, the filter problem based on multiple buffered measurements is proposed. Through the orthogonality principle, the corresponding optimal filter is derived in the linear-minimum-mean-squared-error sense. The computer simulation shows the effectiveness of the proposed filter.
Keywords :
filtering theory; least mean squares methods; networked control systems; optimal control; stochastic processes; linear-minimum-mean-squared-error sense; multiple buffered measurements; optimal filter design; orthogonality principle; stochastic packet dropouts; unreliable media link; Delay; Estimation; Kalman filters; Networked control systems; Nickel; Optimal Estimation; Packet Dropout; Principle of Orthogonality;
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768
