Title :
Neuronal network identification of a wastewater treatment prototype
Author :
Carrasco, R. ; Sanchez, E.N. ; Cadet, C.
Author_Institution :
CINVESTAV, Zapopan, Mexico
Abstract :
This paper presents neuronal network identification of a wastewater treatment prototype. This identification is based on a discrete-time recurrent high order neuronal network (RHONN). The neuronal network is trained with an extended Kalman filter (EFK) algorithm. The neuronal identification performance is illustrated via simulations.
Keywords :
Kalman filters; discrete time systems; identification; neurocontrollers; nonlinear filters; wastewater treatment; discrete-time system; extended Kalman filter algorithm; recurrent high order neuronal network identification; wastewater treatment prototype; Biological neural networks; Biomass; Control system synthesis; Control systems; Differential equations; Neural networks; Nonlinear systems; Prototypes; System identification; Wastewater treatment;
Conference_Titel :
Neural Networks, 2009. IJCNN 2009. International Joint Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4244-3548-7
Electronic_ISBN :
1098-7576
DOI :
10.1109/IJCNN.2009.5178890
