Probabilistic timed automata are an extension of timed automata with discrete probability distributions. Simulation and bisimulation relations are widely-studied in the context of the analysis of system models, with applications in the stepwise development of systems and in model reduction. In this paper, we study probabilistic timed simulation and bisimulation relations for probabilistic timed automata. We present an EXPTIME algorithm for deciding whether two probabilistic timed automata are probabilistically timed similar or bisimilar. Furthermore, we consider a logical characterization of probabilistic timed bisimulation.

Simulation and Bisimulation for Probabilistic Timed Automata

SPROSTON, Jeremy James;TROINA, ANGELO
2010-01-01

Abstract

Probabilistic timed automata are an extension of timed automata with discrete probability distributions. Simulation and bisimulation relations are widely-studied in the context of the analysis of system models, with applications in the stepwise development of systems and in model reduction. In this paper, we study probabilistic timed simulation and bisimulation relations for probabilistic timed automata. We present an EXPTIME algorithm for deciding whether two probabilistic timed automata are probabilistically timed similar or bisimilar. Furthermore, we consider a logical characterization of probabilistic timed bisimulation.
2010
Inglese
contributo
1 - Conferenza
8th International Conference on Formal Modeling and Analysis of Timed Systems (FORMATS 2010)
Klosterneuburg, Austria
8/09/2010 - 10/09/2010
Internazionale
K. Chatterjee and T. Henzinger
Proceedings of the 8th International Conference on Formal Modeling and Analysis of Timed Systems (FORMATS 2010)
Esperti anonimi
Springer
Berlin Heidelberg
GERMANIA
6246
213
227
15
9783642152962
2
info:eu-repo/semantics/conferenceObject
04-CONTRIBUTO IN ATTI DI CONVEGNO::04A-Conference paper in volume
J. SPROSTON; A. TROINA
273
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/122545
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