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Toward a general theory of stochastic hybrid systems


M.L. Bujorianu, J. Lygeros

Lecture Notes in Control and Information Sciences (LNCIS), vol. 337, pp. 3-30, Chapter in book: Stochastic Hybrid Systems: Theory and Safety Critical Applications - LNCIS nr.337 H.A.P. Blom, J. Lygeros (Eds.)

In this chapter 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 c`adl`ag 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.


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% Autogenerated BibTeX entry
@Article { BujLyg:2006:IFA_2596,
    author={M.L. Bujorianu and J. Lygeros},
    title={{Toward a general theory of stochastic hybrid systems}},
    journal={Lecture Notes in Control and Information Sciences (LNCIS)},
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