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This paper proposes a hybrid intelligent inverse optimal control for trajectory tracking based on a neural observer and a fuzzy supervisor for an anaerobic digestion process, in order to maximize methane production. A nonlinear discrete-time recurrent high order neural observer (RHONO) is used to estimate biomass concentration and substrate degradation in a continuous stirred tank reactor. The control...
A new methodology to design fuzzy observers for anaerobic wastewater treatment plants is introduced in this article. First, a general explanation of the anaerobic digestion in a completely stirred tank reactor is presented. A model of the system is explained and studied using the principal components analysis in view to choose variables and local models which characterize the bioprocess. These variables...
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