Nonlinear Identification of pH Process by using NNARX Model
Abstract
Keywords
Full Text:
PDFReferences
K. Narendra and K. Parthasarathy, “Identification and control of dynamical systems using neural networks,” IEEE Transactions on Neural Networks, vol. 1, pp. 4–27, 1990.
K. Valarmathi, D. Devaraj and T. K. Radhakrishnan. "Intelligent techniques for system Identification and controller tuning in ph process". Brazilian Journal of Chemical Engineering Vol. 26, No. 01, pp. 99 - 111, January - March, 2009
Lennart Ljung, System Identification - Theory for the User, 2nd Ed, PTR Prentice Hall, Upper Saddle River, N. J. (1999).
Mohd Hezri Fazalul Rahiman, Mohd Nasir Taib, Ramli Adnan and Yusof Md Salleh,"Analysis of Weight Decay Regularization in NNARX Nonlinear Identification", 5th International Colloquium on Signal Processing & Its Applications (CSPA), 2009.
L.R. Medsker, L.C. Jain, Recurrent neural networks: design and applications, Boca Raton, FL: CRC Press, 2000.
Alireza Karbasi, "Comparison of NNARX, ANN and ARIMA Techniques to Poultry Retail Price Forecasting", Thesis, University of Zabol, 2009.
Heba Al-Hiary, Malik Braik, Alaa Sheta, and Aladdin Ayesh, "Identification of A Chemical Process Reactor Using Soft Computing Techniques ", IEEE, 2008.
M. Norgaard, “Neural network based system identification toolbox,” Department of Automation. Technical University of Denmark, 2000.
M. Norgaard, O. Ravn, Poulsen, and L. K. Hansen, "Neural Networks for Modelling and Control of Dynamic Systems". Springer, London, 2000.
L.Ricker,http://depts.washington.edu/control/larry/te/download.html,Computers and Chemical Engineering, 1995.
Magnus Nergaard, Ole Ram and Niels Kjelstad Poulsen, "NNARX Tools for system identification and control with neural networks",Computing & Control Engineering Journal February 2001.
A. K. Jain, J. Mao, and K. K. Mohiuddin, “Artificial neural networks:A tutorial,” IEEE Computer Special Issue on Neural Computing, pp. 31–44,1996.
S R Navghare, Dr. G L Bodhe, Shruti," Design of Adaptive pH Controller using ANFIS International Journal of Computer Applications (0975 – 8887) Volume 33– No.6, November 2011.
Refbacks
- There are currently no refbacks.