Latest revision as of 13:37, 25 January 2021

Abstract

Stochastic hybrid systems arise in numerous applications of systems with multiple models; e.g., air traffc 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.

Original document

The different versions of the original document can be found in:

• http://dx.doi.org/10.1007/0-387-23467-5_19

• https://link.springer.com/content/pdf/10.1007%2F0-387-23467-5_19.pdf

• http://www.springerlink.com/index/pdf/10.1007/0-387-23467-5_19,

http://dx.doi.org/10.1007/0-387-23467-5_19

• https://research.utwente.nl/en/publications/modeling-stochastic-hybrid-systems,

https://link.springer.com/chapter/10.1007%2F0-387-23467-5_19,

https://www.narcis.nl/publication/RecordID/oai%3Aris.utwente.nl%3Apublications%2F21980cfb-5a82-4612-81a8-d27992c3c9a9,

https://rd.springer.com/chapter/10.1007/0-387-23467-5_19,

http://hybridge.nlr.nl/documents/R2.7_MSHS.pdf,

https://dblp.uni-trier.de/db/conf/ifip7/ifip7-2003.html#GhoshB03,

https://www.researchgate.net/profile/Arunabha_Bagchi/publication/225802498_Modeling_Stochastic_Hybrid_Systems/links/0046352a81f72cc3b9000000.pdf?inViewer=true&pdfJsDownload=true&disableCoverPage=true&origin=publication_detail,

http://eprints.iisc.ac.in/43767,

https://academic.microsoft.com/#/detail/1511256472