Parametric verification of linear temporal properties for stochastic models requires to
compute the satisfaction probability of a certain property as a function of the parameters of …

Abstract Cyber-Physical Systems (CPS) are being used in many safety-critical applications.
Due to the important role in virtually every aspect of human life, it is crucial to make sure that …

We discuss how to define a kernel for Signal Temporal Logic (STL) formulae. Such a kernel
allows us to embed the space of formulae into a Hilbert space, and opens up the use of …

We present a new method for the automated synthesis of safe and robust Proportional-
Integral-Derivative (PID) controllers for stochastic hybrid systems. Despite their widespread …

Smoothed model checking based on Gaussian process classification provides a powerful
approach for statistical model checking of parametric continuous time Markov chain models …

Abstract Signal Temporal Logic (STL) is a common way to express a broad range of real-
time constraints that can be imposed on control systems. Spatial robustness of STL …

The notion of the safety of a system when placed in an environment with humans and other
machines has been one of the primary concerns of practitioners while deploying any cyber …

We propose a novel approach to parameter synthesis for parametrised Kripke structures and
CTL specifications. In our method, we suppose the parametrisations form a semi-algebraic …

This paper presents two stochastic filters considering autoregressive models of first and
second order for parameter estimation and system identification. Each model is applied to a …

We consider the problem of parametric verification, presenting a recent statistical method to
perform parametric verification of linear time properties of stochastic models, estimating the …