Name
Abstract | ||
|---|---|---|
Stochastic hybrid systems arise in numerous applications of systems with multiple models; e.g., air traffic management, flexible manufacturing systems, fault tolerant control systems etc. In a typical hybrid system, the state space is hybrid in the sense that some components take values in a Euclidean space, while some other components are discrete. In this paper we propose two stochastic hybrid models, both of which permit diffusion and hybrid jump. Such models are essential for studying air traffic management in a stochastic framework. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1007/0-387-23467-5_19 | International Federation for Information Processing |
Keywords | Field | DocType |
stochastic hybrid systems,Markov processes,Ito-Skorohod type stochastic,differential equations,hybrid jumps | Mathematical optimization,Markov process,Air traffic management,Manufacturing systems,Computer science,Euclidean space,Jump,State space,Hybrid system,Multiple Models | Conference |
Volume | ISSN | Citations |
166 | 1571-5736 | 4 |
PageRank | References | Authors |
0.63 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mrinal K. Ghosh | 1 | 28 | 9.78 |
| Arunabha Bagchi | 2 | 58 | 10.78 |
| MK Ghosh | 3 | 4 | 0.63 |