Stochastic hybrid systems have received significant attentions as a relevant modeling
framework describing many systems, from engineering to the life sciences: they enable the …

As neural networks (NNs) become more prevalent in safety-critical applications such as
control of vehicles, there is a growing need to certify that systems with NN components are …

We present SReachTools, an open-source MATLAB toolbox for performing stochastic
reachability of linear, potentially time-varying, discrete-time systems that are perturbed by a …

Stochastic discrete-time systems, ie, discrete-time dynamic systems subject to stochastic
disturbances, are an essential modelling tool for many engineering systems, and reach …

Probabilistic guarantees of safety and performance are important in constrained dynamical
systems with stochastic uncertainty. We consider the stochastic reachability problem, which …

In this paper, we consider the infinite-horizon reach-avoid zero-sum game problem, where
the goal is to find a set in the state space, referred to as the reach-avoid set, such that the …

We address the stochastic reach-avoid problem for linear systems with additive stochastic
uncertainty. We seek to compute the maximum probability that the states remain in a safe set …

In this paper we propose a novel semi-definite programming approach that solves reach-
avoid problems over open (ie, not bounded a priori) time horizons for dynamical systems …

In this article, we propose a novel semidefinite programming approach that solves reach-
avoid problems over open (ie, not bounded a priori) time horizons for dynamical systems …

This report presents the results of a friendly competition for formal verification and policy
synthesis of stochastic models. The friendly competition took place as part of the workshop …