Observability analysis and software sensor design for an animal cell culture in perfusion mode

Abstract The cultivation of animal cells in perfusion allows the production of various biopharmaceutical products. In this work, the observability properties of a nonlinear dynamic model of these animal cell cultures is assessed using a method based on a natural dynamical interpretation of the observability/detectability concepts, leading to the description of the indistinguishable dynamics of the system. Following this analysis, a Kalman filter is designed to reconstruct on-line variables which are difficult or expensive to measure directly with a hardware sensor.