This paper is focused on adapting symmetry reduction, a technique that is highly successful in traditional model checking, to stochastic hybrid systems. To that end, we first show that performability analysis of stochastic hybrid systems can be reduced to a stochastic reachability analysis (SRA). Then, we generalize the notion of symmetry reduction as recently proposed for probabilistic model checking, to continuous probabilistic systems. We provide a rigorous mathematical foundation for the reduction technique in the continuous case and also investigate its observability perspective. For stochastic hybrid systems, characterizations for this reduction technique are provided, in terms of their infinitesimal generator. Keywords: Markov models...
State space based performance analysis of stochastic models may be impaired by the state space explo...
Stochastic hybrid systems involve the coupling of discrete, continuous, and probabilistic phenomena,...
The performance and dependability evaluation of complex systems by means of dynamic stochastic model...
This paper is focused on adapting symmetry reduction, a technique that is highly successful in tradi...
We present an approach for applying symmetry reduction techniques to probabilistic model checking, a...
Abstract—Symmetry reduction is a technique for combating state-space explosion in model checking. Th...
Stochastic reachability analysis (SRA) is a method of analyzing the behavior of control systems whic...
In the recent years, there have been a large amount of investigations on safety verification of unce...
Symmetry reduction is a technique for combating state-space explosion in model checking. The generic...
For stochastic hybrid systems, safety verification methods are very little supported mainly because ...
A stochastic hybrid system contains a collection of interacting discrete and continuous compo-nents,...
In this paper, we present a sound integration mechanism for Markov processes that are abstractions o...
The verification problem for stochastic hybrid systems is quite difficult. One method to verify thes...
A method for approximate model checking of stochastic hybrid systems with provable approximation gua...
The stochastic hybrid systems constitute well established classes of realistic models of hybrid disc...
State space based performance analysis of stochastic models may be impaired by the state space explo...
Stochastic hybrid systems involve the coupling of discrete, continuous, and probabilistic phenomena,...
The performance and dependability evaluation of complex systems by means of dynamic stochastic model...
This paper is focused on adapting symmetry reduction, a technique that is highly successful in tradi...
We present an approach for applying symmetry reduction techniques to probabilistic model checking, a...
Abstract—Symmetry reduction is a technique for combating state-space explosion in model checking. Th...
Stochastic reachability analysis (SRA) is a method of analyzing the behavior of control systems whic...
In the recent years, there have been a large amount of investigations on safety verification of unce...
Symmetry reduction is a technique for combating state-space explosion in model checking. The generic...
For stochastic hybrid systems, safety verification methods are very little supported mainly because ...
A stochastic hybrid system contains a collection of interacting discrete and continuous compo-nents,...
In this paper, we present a sound integration mechanism for Markov processes that are abstractions o...
The verification problem for stochastic hybrid systems is quite difficult. One method to verify thes...
A method for approximate model checking of stochastic hybrid systems with provable approximation gua...
The stochastic hybrid systems constitute well established classes of realistic models of hybrid disc...
State space based performance analysis of stochastic models may be impaired by the state space explo...
Stochastic hybrid systems involve the coupling of discrete, continuous, and probabilistic phenomena,...
The performance and dependability evaluation of complex systems by means of dynamic stochastic model...