State estimation in a bioprocess described by a hybrid model

Abstract

This work proposes a method to estimate states in hybrid nonlinear discrete-time systems based on an interval moving horizon state estimation method, where the states of the hybrid model are described using a representation by interval numbers. The proposed technique is applied to a generic biotechnological process model, where the specific growth rate and its substrate dependence is modeled by a hybrid law, simpler than the classic dependence of a Monod law. The results obtained through computer simulation demonstrate that this estimation hybrid can be easily implemented in industrial situations.