Name
Abstract | ||
|---|---|---|
This paper studies the problem of distributed state estimation in the scenario where the process model of interest is not certain to any local agent. By extending the previously proposed distributed hybrid information fusion (DHIF) algorithm to this considered scenario, two algorithms are proposed by following the frameworks of two well-known multiple-model (MM) approaches, namely, the first-order... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TCNS.2017.2763756 | IEEE Transactions on Control of Network Systems |
Keywords | Field | DocType |
Estimation,Computational modeling,Kalman filters,Distributed algorithms,Symmetric matrices,Wireless sensor networks,Multi-agent systems | Mathematical optimization,Sampling interval,Control theory,Process modeling,Kalman filter,Symmetric matrix,Information fusion,Mathematics | Journal |
Volume | Issue | ISSN |
5 | 4 | 2325-5870 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shao-Cheng Wang | 1 | 43 | 5.63 |
| Wei Ren | 2 | 5238 | 250.63 |
| Chen Jie | 3 | 267 | 29.60 |