Towards a General Theory of Stochastic Hybrid Systems


Bujorianu, L.M. and Lygeros, J. and Bujorianu, M.C. (2008) Towards a General Theory of Stochastic Hybrid Systems. [Report]

open access
Abstract:In this paper we set up a mathematical structure,
called Markov string, to obtaining a very general class of models for stochastic hybrid systems. Markov Strings are, in fact, a class of Markov processes, obtained by a
mixing mechanism of stochastic processes, introduced
by Meyer. We prove that Markov strings are strong Markov processes with the cadlag property. We then show how a very general class of stochastic hybrid processes can be embedded
in the framework of Markov strings. This class, which
is referred to as the General Stochastic Hybrid Systems (GSHS), includes as special cases all the classes of stochastic hybrid processes, proposed in the literature.

Item Type:Report
Electrical Engineering, Mathematics and Computer Science (EEMCS)
Link to this item:
Export this item as:BibTeX
HTML Citation
Reference Manager


Repository Staff Only: item control page

Metis ID: 250910