Black-box testing has been extensively applied to test models of Cyber-Physical systems
(CPS) since these models are not often amenable to static and symbolic testing and …

We present the DryVR framework for verifying hybrid control systems that are described by a
combination of a black-box simulator for trajectories and a white-box transition graph …

We present a novel method for the safety verification of nonlinear dynamical models that
uses neural networks to represent abstractions of their dynamics. Neural networks have …

Modern cyber-physical systems (CPS) are often developed in a model-based development
(MBD) paradigm. The MBD paradigm involves the construction of different kinds of …

Abstract (Hybrid Abstraction-Refinement Engine) is a counterexample guided abstraction-
refinement (CEGAR) based tool to verify safety properties of hybrid automata, whose …

Industrial cyber-physical systems are hybrid systems with strict safety requirements. Despite
not having a formal semantics, most of these systems are modeled using Stateflow/Simulink …

In this paper we address the safety analysis of chemical plants controlled by programmable
logic controllers (PLCs). We consider a specification of the control program of the PLCs …

We address the problem of analyzing the reachable set of a polynomial nonlinear
continuous system by over-approximating the flowpipe of its dynamics. The common …

We present a collection of advances in the algorithmic verification of hybrid automata with
piecewise linear derivatives, so-called Linear Hybrid Automata. New ways to represent and …

We consider the problem of safety analysis of probabilistic hybrid systems, which capture
discrete, continuous and probabilistic behaviors. We present a novel counterexample …