Name
Title | ||
|---|---|---|
Graph-Theoretic Analysis Of Estimators For Stochastically-Driven Diffusive Network Processes |
Abstract | ||
|---|---|---|
Monitoring of a linear diffusive network dynamics that is subject to a stationary stochastic input is considered, from a graph-theoretic perspective. Specifically, the performance of minimum mean square error (MMSE) estimators of the stochastic input and network state, based on remote noisy measurements, is studied. Using a graph-theoretic characterization of frequency responses in the diffusive network model, we show that the performance of an off-line (noncausal) estimator exhibits an exact topological pattern, which is related to vertex cuts and paths in the network's graph. For on-line (causal) estimation, graph theoretic results are obtained for the case where the measurement noise is small. |
Year | Venue | Field |
|---|---|---|
2018 | 2018 ANNUAL AMERICAN CONTROL CONFERENCE (ACC) | Topology,Network dynamics,Frequency response,Noise measurement,Vertex (geometry),Control theory,Computer science,Minimum mean square error,Transfer function,Network model,Estimator |
DocType | ISSN | Citations |
Conference | 0743-1619 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sandip Roy | 1 | 301 | 53.03 |
| Mengran Xue | 2 | 61 | 13.36 |
| Shreyas Sundaram | 3 | 784 | 65.39 |