Probabilistic Model Checking


Visible to the public Statistical Verification of Dynamical Systems Using Set Oriented Methods


Modeling, analyzing and verifying real physical systems have long been a changeling task since the dynamics are usually nonlinear and the state spaces are always continuous. In this work, we use linear inequality LTL (iLTL), a temporal logic, to specify the behavior of nonlinear dynamical systems over time and propose a framework for statistical verification of temporal formulae on nonlinear systems using set oriented methods.