Quantitative Approximation of the Probability Distribution of a Markov Process by Formal Abstractions

The goal of this work is to formally abstract a Markov process evolving in discrete time over a general state space as a finite-state Markov chain, with the objective of precisely approximating its state probability distribution in time, which allows for its approximate, faster computation by that o...

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Autori principali: Sadegh Esmaeil Zadeh Soudjani, Alessandro Abate
Natura: Articolo
Lingua:English
Pubblicazione: Logical Methods in Computer Science e.V. 2015-09-01
Serie:Logical Methods in Computer Science
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Accesso online:https://lmcs.episciences.org/1584/pdf