DocumentCode
550500
Title
The optimal filtering for a class of local strongly coupled systems
Author
Lu Jun ; Cai Yunze ; Xu Li ; Xu Xiaoming
Author_Institution
Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai, China
fYear
2011
fDate
22-24 July 2011
Firstpage
1372
Lastpage
1376
Abstract
This paper addresses the optimal filtering problem for a kind of local strongly coupled systems. We introduce a local strongly coupled system with communication between the nodes. Applying the standard kalman filter design procedures to such systems is difficult because of transmission delay and intermittent communication. By using the stochastic theory and state augmentation technique, we present the optimal filtering problem in terms of the full system dynamics. The numerical simulations not only show the effectiveness of the proposed filtering method, but also illustrate the complex random phenomenon in local strongly coupled systems.
Keywords
Kalman filters; delays; stochastic processes; Kalman filter; local strongly coupled systems; optimal filtering; state augmentation technique; stochastic theory; transmission delay; Conferences; Covariance matrix; Delay; Kalman filters; Mathematical model; Robot sensing systems; Kalman Filter; Local Strongly Coupled Systems; Transmission Delay;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2011 30th Chinese
Conference_Location
Yantai
ISSN
1934-1768
Print_ISBN
978-1-4577-0677-6
Electronic_ISBN
1934-1768
Type
conf
Filename
6000839
Link To Document