Name
Title | ||
|---|---|---|
On the Convergence Conditions of Distributed Dynamic State Estimation Using Sensor Networks: A Unified Framework. |
Abstract | ||
|---|---|---|
In this paper, the problem of distributed state estimation using sensor networks is considered for a very general scenario, where: 1) the process model of the target and the sensing models of local agents are assumed to be linear and time varying; 2) the communication topology between agents is modeled as a general directed graph, and is subject to change with time; and 3) there might exist a time... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TCST.2017.2715849 | IEEE Transactions on Control Systems Technology |
Keywords | Field | DocType |
State estimation,Topology,Stability analysis,Convergence,Kalman filters,Indexes | Convergence (routing),LTI system theory,Mathematical optimization,Control theory,Directed graph,Brooks–Iyengar algorithm,Kalman filter,Control engineering,Strongly connected component,Wireless sensor network,Mathematics,Special case | Journal |
Volume | Issue | ISSN |
26 | 4 | 1063-6536 |
Citations | PageRank | References |
11 | 0.61 | 7 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shao-Cheng Wang | 1 | 43 | 5.63 |
| Wei Ren | 2 | 5238 | 250.63 |