An experimental evaluation of state estimation with fluid dynamical models in process tomography

In this paper we perform an experimental evaluation of a state estimation approach in process tomography. In particular, we concentrate on the case where a system with rapidly moving target is imaged with electrical impedance tomography. We show experimental results which confirm that non-stationary estimation with proper fluid dynamical models works well even in cases where stationary estimates are completely useless.