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 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 …

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

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

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

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 …

Piecewise deterministic Markov processes (PDMPs) can be used to model complex
dynamical industrial systems. The counterpart of this modeling capability is their simulation …

Designing controllers to satisfy temporal requirements has proven to be challenging for
dynamical systems that are affected by uncertainty. This is mainly due to the states evolving …

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 …

Abstract The workshop on Applied Verification for Continuous and Hybrid Systems (ARCH)
is an annual venue for researchers and practitioners working on automated analysis and …