Name
Title | ||
|---|---|---|
A linear distributed filter inspired by the Markovian jump linear system filtering problem. |
Abstract | ||
|---|---|---|
In this paper we introduce a consensus-based distributed filter, executed by a sensor network, inspired by the Markovian jump linear system filtering theory. We show that the optimal filtering gains of the Markovian jump linear system can be used as an approximate solution of the optimal distributed filtering problem. This parallel allows us to interpret each filtering gain corresponding to a mode of operation of the Markovian jump linear system as a filtering gain corresponding to a sensor in the network. The approximate solution can be implemented distributively and guarantees a quantifiable level of performance. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1016/j.automatica.2012.05.028 | Automatica |
Keywords | Field | DocType |
Distributed filtering,Markovian jump systems,State estimation | Distributed filtering,Markovian jump linear systems,Mathematical optimization,Block cipher mode of operation,Control theory,Filter (signal processing),Filtering problem,Filtering theory,Wireless sensor network,Approximate solution,Mathematics | Journal |
Volume | Issue | ISSN |
48 | 8 | 0005-1098 |
Citations | PageRank | References |
4 | 0.40 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ion Matei | 1 | 149 | 13.66 |
| John S. Baras | 2 | 1953 | 257.50 |