Name
Abstract | ||
|---|---|---|
In this note, we investigate how to quantitatively evaluate the performance of state estimation for discrete event systems. We use a stochastic automaton to model a discrete event system. We say that an event sequence is detectable if we can determine the current and subsequent states after the occurrence of the sequence. We define the limit of the sum of probabilities of all detectable sequences ... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TAC.2018.2843723 | IEEE Transactions on Automatic Control |
Keywords | DocType | Volume |
Automata,Discrete-event systems,State estimation,Markov processes,Current measurement,Trajectory | Journal | 64 |
Issue | ISSN | Citations |
1 | 0018-9286 | 2 |
PageRank | References | Authors |
0.37 | 11 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pei Zhao | 1 | 2 | 1.04 |
| Shaolong Shu | 2 | 35 | 5.32 |
| Feng Lin | 3 | 177 | 18.34 |
| Bo Zhang | 4 | 2 | 0.37 |