Diana A. Urrego-Patarroyo, E. Sánchez, S. Carlos-Hernandez, J. Béteau
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引用次数: 4
Abstract
In this paper, a recurrent neural networks observer for anaerobic processes is proposed; the main objective is to estimate biomass, in a completely stirred tank reactor. The neural network is trained with an extended Kalman filter algorithm. The applicability of the proposed observer is verified via simulations.
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