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 càdlàg 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.
|Title of host publication||Stochastic Hybrid Systems: Theory and Safety Critical Applications|
|Editors||H.A.P. Blom, J. Lygeros|
|Place of Publication||Berlin|
|Number of pages||28|
|Publication status||Published - Jul 2006|
|Name||Lecture Notes in Control and Information Sciences|