DocumentCode :
577716
Title :
Distributed filtering basing consensus for the local strongly coupled systems
Author :
Cai, Yunze ; Wang, Hua O. ; Xu, Xiaoming
Author_Institution :
Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai, China
fYear :
2012
fDate :
6-8 July 2012
Firstpage :
1801
Lastpage :
1805
Abstract :
The interactions between subsystems are important for large-scale systems. We introduce a local strongly coupled system which coupled by random communication between subsystems.Due to the intermittent communication, it is difficult to apply the standard Kalman or robust filter to design procedures to such systems. In this paper, we addressed the distributed robust filter design method for this kind of system based on the consensus idea. The main result is a sufficient condition which guarantees a suboptimal level of disagreement of estimates in a coupled network of estimators. The condition is formulated in terms of feasibility of biaffine matrix inequalities (BMIs). The generic algorithm is used to treat the bilinear relation between filter parameters and the interconnection gains. The proposed approach is applied to the problem of formation-based robust synchronization. The numerical simulations show the effectiveness of the proposed filtering method.
Keywords :
Kalman filters; genetic algorithms; biaffine matrix inequalities; coupled network; distributed filtering basing consensus; distributed robust filter design; estimators; formation based robust synchronization; generic algorithm; interconnection gains; large scale systems; local strongly coupled system; numerical simulation; random communication; standard Kalman filter; Covariance matrix; Estimation; Information filtering; Kalman filters; Linear matrix inequalities; Noise; Consensus; Distributed Filtering; Estimation; Local Strongly Coupled Systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
Type :
conf
DOI :
10.1109/WCICA.2012.6358169
Filename :
6358169
Link To Document :
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