Name
Title | ||
|---|---|---|
A Decision-Making Framework of Hybrid System Based on Modified Hybrid Stochastic Timed Petri Net and Deep Learning |
Abstract | ||
|---|---|---|
For designing the decision model of hybrid systems, there are sophisticated quantitative and qualitative attributes such as discrete events, continuous processes, stochasticity, and time delay. Meanwhile, the inherent heterogeneity and concurrency existing in hybrid systems trigger multiple decision challenges, including behavior uncertainty and states consistency. It is difficult to express the c... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/JSYST.2020.2983044 | IEEE Systems Journal |
Keywords | DocType | Volume |
Petri nets,Decision making,Data models,Stochastic processes,Fault diagnosis,Deep learning,Delay effects | Journal | 15 |
Issue | ISSN | Citations |
2 | 1932-8184 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ruimin Cao | 1 | 0 | 0.68 |
| Lihui Wang | 2 | 0 | 0.34 |
| Lina Hao | 3 | 5 | 11.02 |
| Wenlin Chen | 4 | 0 | 0.34 |
| Junxiang Deng | 5 | 0 | 0.68 |