Cyber-Physical Synchronization via Data Assimilation

Abstract

  Cyber-physical systems (CPS) can be realized in various ways depending on the target; however, the cyber and physical should be integrated statistically to consider their uncertainties by a Bayesian approach, when we consider computer-aided engineering (CAE) simulations as a cyber representative and corresponding measurement data as a physical counterpart. Data assimilation, which realizes Bayesian estimation using numerical simulations and measurement data, is a method of statistically estimating the uncertain factors of the simulation model (initial and boundary conditions, model parameters, etc.) with observed data. With this, the data assimilation is expected to promote cyber-physical synchronization. In this paper, we introduce an example of cyber-physical synchronization through video images.