Neuronal network identification of a wastewater treatment prototype

  • Authors:

  • R . Carrasco;E . N. Sanchez;C. Cadet

  • Affiliations:

  • CINVESTAV, Unidad Guadalajara, México;CINVESTAV, Unidad Guadalajara, México;GIPSA-Iab, Department of Control Systems, Institute National Polytechnique de Grenoble, St-Martin d'Hères Cedex, France

  • Venue:
  • IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
  • Year:
  • 2009

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Abstract

This paper pre sents neuronal network identification of a wastewater treatment prototype. This identification is based on a discrete-time high order neuronal network (RHONN). The neuronal network is trained with an extended Kalman filter (EFK) algorithm. The neuronal identificat ion performance is illustrated via simulations.