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

We present SySCoRe, a MATLAB toolbox that synthesizes controllers for stochastic
continuous-state systems to satisfy temporal logic specifications. Starting from a system …

We consider the problem of predictive monitoring (PM), ie, predicting at runtime the
satisfaction of a desired property from the current system's state. Due to its relevance for …

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

Automatically synthesizing controllers for continuous-state nonlinear stochastic systems,
while giving guarantees on the probability of satisfying (infinite-horizon) temporal logic …

We present a flexible and efficient toolchain to symbolically solve (standard) Rabin games,
fair-adversarial Rabin games, and-player Rabin games. To our best knowledge, our tools …

This report presents the results of a friendly competition for formal verification and policy
synthesis of stochastic models. It also introduces new benchmarks and their properties …

This paper introduces two stochastic variants of rectangular automata. First, rectangular
automata with random events (RAE) are introduced, which semantically embed random …

We present SOCKS, a data-driven stochastic optimal control toolbox based in kernel
methods. SOCKS is a collection of data-driven algorithms that compute approximate …

For the formal verification and design of control systems, abstractions with quantified
accuracy are crucial. This is especially the case when considering accurate deviation …