Fluid dynamical models and state estimation in process tomography: Effect due to inaccuracies in flow fields

摘要

In this paper we consider the reconstruciton of rapidly varying objects in process tomography. The evolution of the physi- cal parameters is approximated with stochastic convection diffusion and fluid dynamics models. The actual time-varying reconstruction is carried out as a state estimation problem. As the boundary obser- vations we use the voltage data of electrical impedance tomogra- phy.