Identification and Prediction of Wastewater Treatment Parameters
the author of the article can submit here a request for assignment of a DOI number to this resource!
Cost of the service: euros 10,00 (for a DOI)
In this paper, neural networks are extensively used to identify and predict wastewater process parameters. Three methods are implemented to control the system operations. The difference neural network inputs are excluded in the first method and considered in the second one. The third one is implemented using the extended Kalman filter. High performance is obtained by our approach, which considers input difference effects and, therefore, fits better to overcome the complex wastewater problem.
Copyright © 2019 Praise Worthy Prize - All rights reserved.
M. Henze et al., Actived sludge model N°1, IAWQ Scientific and technical report N°1, IAWQ, London, Great Britain 1987.
M. Henze et al., Actived sludge model N°2, IAWQ Scientific and technical report N°3, IAWQ, London, Great Britain 1995.
M. Henze et al., Actived sludge model ASM1, ASM2, ASM2d and ASM3, IWA publishing , London, Great Britain, 2000.
Sergiu et al., Predictive control of a wastewater treatment process, International Journal of Computers, communication and control Vol.II, N°2, pp. 132-142 2007
F. Nedjari et al., Nonlinear multivariable adaptive control of an actived sludge wastewater treatment process, Int. J. Adapt. Control Signal Process, Vol. 13, pp. 347-365,1999.
M.R. Katebi et al., Control and instrumentation for wastewater treatment plant, Springer- Verlag, London 1999.
Efe, Mehmet Onder, Identification and control of nonlinear dynamical systems using neural networks, MS Thesis, Bogaziçi University, 1996.
K. hornik et al., multilayer feed forward networks are universal approximation , Neural Networks, Vol 2, pp. 359-366, 1989
Dan SIMO, Optimal state estimation : Kalman ,H∞ and nonlinear approaches, John Wiley and Sons, 2006.
- There are currently no refbacks.
Please send any question about this web site to firstname.lastname@example.org
Copyright © 2005-2020 Praise Worthy Prize