DocumentCode :
592531
Title :
State estimation over a lossy network using linear temporal coding
Author :
Lidong He ; Dongfang Han ; Xiaofan Wang ; Ling Shi
Author_Institution :
Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai, China
fYear :
2012
fDate :
10-13 Dec. 2012
Firstpage :
2002
Lastpage :
2007
Abstract :
We consider state estimation for a discrete-time system over a lossy network. In order to improve the estimation performance, different from the standard approach of sending the current measurement data, we choose sending a linear combination of the current measurement and the measurement collected at the previous time, a method called linear temporal coding. We consider the case when the packet arrival sequence is unknown. In an effort to cope with colored noise caused by measurement combination, after comparing with the classic state augmentation approach and measurement differencing approach, we derive a recursive estimation algorithm by means of orthogonal projection principle and innovation sequence approach. Our algorithm consists of two parts: smooth and estimate. Numerical example shows the benefit of using linear temporal coding strategy, compared with directly sending the current data.
Keywords :
discrete time systems; electric current measurement; linear codes; networked control systems; recursive estimation; state estimation; classic state augmentation approach; colored noise; current measurement data; discrete-time system; estimate algorithm; estimation performance; innovation sequence approach; linear combination; linear temporal coding strategy; lossy network; measurement combination; measurement differencing approach; orthogonal projection principle; packet arrival sequence; recursive estimation algorithm; smooth algorithm; state estimation; Colored noise; Current measurement; Encoding; Estimation; Mathematical model; Noise measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location :
Maui, HI
ISSN :
0743-1546
Print_ISBN :
978-1-4673-2065-8
Electronic_ISBN :
0743-1546
Type :
conf
DOI :
10.1109/CDC.2012.6426825
Filename :
6426825
Link To Document :
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