From physics to machine learning and back: applications in dynamical systems

Pure data-driven models struggle with extrapolation; pure physical models struggle with unmodeled effects. This webinar of the technical committee on data-driven control and monitoring covers hybrid approaches: physics-informed learning, residual modeling and model-based validation, with examples from process and energy systems.