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.
Research supported by the IST project “HYBRIDGE”, IST-2001-32460, of the European Commission
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Ghosh, M.K., Bagchi, A. (2005). Modeling Stochastic Hybrid Systems. In: Cagnol, J., Zolésio, JP. (eds) System Modeling and Optimization. CSMO 2003. IFIP International Federation for Information Processing, vol 166. Springer, Boston, MA. https://doi.org/10.1007/0-387-23467-5_19
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DOI: https://doi.org/10.1007/0-387-23467-5_19
Publisher Name: Springer, Boston, MA
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