Stochastic Control of the Activated Sludge Process

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Abstract
A stochastic optimal control method is introduced and applied to the real-time management of an activated sludge process. The method includes a detailed dynamic process model and accounts for input uncertainty. The objective is to minimize the expected variations of effluent organic concentrations and is met by manipulating process flowrates. The method is applied to a hypothetical case study.

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