Robust control for an uncertain chemostat model
Abstract
In this paper we consider a control problem for an uncertain chemostat model with a general monotone growth function. This uncertainty affects the model (growth function) as well as the outputs (measurements of substrate). Despite this lack of information, an upper bound and a lower bound for those uncertainties are assumed to be known a priori. We are able to build a family of feedback control laws on the dilution rate, giving a guaranteed estimation on the unmeasured variable (biomass), and stabilizing asymptotically the two variables in a rectangular set, around a reference value of the substrate. This could be implemented in a real chemostat, keeping a high level of substrate, avoiding the washout of the bioreactor.
Domains
Other [cs.OH]
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