Name
Title | ||
|---|---|---|
Event-Based State Estimation of Hidden Markov Models Through a Gilbert–Elliott Channel |
Abstract | ||
|---|---|---|
In this note, the problem of event-based state estimation for a finite-state hidden Markov model under a generic stochastic event-triggering condition and an unreliable communication channel is investigated. The effect of packet dropout is characterized with a Gilbert–Elliott process. Utilizing the change of probability measure approach, the packet dropout model and the event-triggered measurement information available to the estimator, analytical expressions for the conditional probability distributions of the states are obtained, based on which the optimal event-based state estimates can be further calculated, together with a closed-form expression of the average sensor-to-estimator communication rate. The effectiveness of the proposed results is illustrated by an application to a wireless automated machine health monitoring problem. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TAC.2017.2671037 | IEEE Transactions on Automatic Control |
Keywords | Field | DocType |
Hidden Markov models,State estimation,Channel estimation,Stochastic processes,Loss measurement,Probability distribution | Mathematical optimization,Markov process,Continuous-time Markov chain,Markov property,Conditional probability,Markov model,Markov chain,Variable-order Markov model,Mathematics,Hidden semi-Markov model | Journal |
Volume | Issue | ISSN |
62 | 7 | 0018-9286 |
Citations | PageRank | References |
1 | 0.37 | 18 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wentao Chen | 1 | 19 | 3.56 |
| JunZheng Wang | 2 | 33 | 16.27 |
| Dawei Shi | 3 | 312 | 26.03 |
| Ling Shi | 4 | 1717 | 107.86 |