Modelling Interactions of a Microbial Community through an Optimal Tracking Control Approach

Genetic sequencing measurements of the existing species in a reactor are incorporated into a classic chemostat model through a non linear optimal tracking approach. The framework is applied to data coming from a nitrification process, resulting in a dynamical system with a high dimensional state. The observed ecological dynamics from the bacterial species are able to explain the substrates dynamics.