Table of Contents Author Guidelines Submit a Manuscript
Computational Intelligence and Neuroscience
Volume 2016, Article ID 1690924, 10 pages
http://dx.doi.org/10.1155/2016/1690924
Research Article

Neural Net Gains Estimation Based on an Equivalent Model

1Centro de Investigación en Computación, Instituto Politécnico Nacional (CIC-IPN), Avenida Juan de Dios Bátiz, Esq. Miguel Othón de Mendizábal, Col. Nueva Industrial Vallejo, Delegación Gustavo A. Madero, 07738 Ciudad de México, DF, Mexico
2Centro de Investigación en Ciencia Aplicada y Tecnología Avanzada U. Legaria, Instituto Politécnico Nacional (CICATA-Legaria-IPN), Calzada Legaria 649, Col. Irrigación, Delegación Miguel Hidalgo, 11500 Ciudad de México, DF, Mexico

Received 30 January 2016; Revised 15 April 2016; Accepted 24 April 2016

Academic Editor: Manuel Graña

Copyright © 2016 Karen Alicia Aguilar Cruz et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. H. M. Romero Ugalde, J.-C. Carmona, J. Reyes-Reyes, V. M. Alvarado, and J. Mantilla, “Computational cost improvement of neural network models in black box nonlinear system identification,” Neurocomputing, vol. 166, pp. 96–108, 2015. View at Publisher · View at Google Scholar · View at Scopus
  2. M. Witters and J. Swevers, “Black-box model identification for a continuously variable, electro-hydraulic semi-active damper,” Mechanical Systems and Signal Processing, vol. 24, no. 1, pp. 4–18, 2010. View at Publisher · View at Google Scholar · View at Scopus
  3. B. Subudhi and D. Jena, “A differential evolution based neural network approach to nonlinear system identification,” Applied Soft Computing, vol. 11, no. 1, pp. 861–871, 2011. View at Publisher · View at Google Scholar · View at Scopus
  4. K. M. Passino and S. Yurkovich, Fuzzy Control, Addison-Wesley, New York, NY, USA, 1998.
  5. J. C. G. Infante, J. J. M. Juárez, and P. G. López, “Filtrado digital difuso en tiempo real,” Computación y Sistemas, vol. 11, no. 4, pp. 390–401, 2008. View at Google Scholar
  6. G.-B. Huang, Q.-Y. Zhu, and C.-K. Siew, “Real-time learning capability of neural networks,” IEEE Transactions on Neural Networks, vol. 17, no. 4, pp. 863–878, 2006. View at Publisher · View at Google Scholar · View at Scopus
  7. R. E. Kalman, “A new approach to linear filtering and prediction problems,” Journal of Basic Engineering, vol. 82, no. 1, pp. 35–45, 1960. View at Publisher · View at Google Scholar
  8. T. Takagi and M. Sugeno, “Fuzzy identification of systems and its applications to modeling and control,” IEEE Transactions on Systems, Man and Cybernetics, vol. 15, no. 1, pp. 116–132, 1985. View at Google Scholar · View at Scopus
  9. J. J. Medel Juárez, J. C. García Infante, and P. Guevara López, “Real-Time Fuzzy Digital Filters (RTFDF) properties for siso systems,” Automatic Control and Computer Sciences, vol. 42, no. 1, pp. 26–34, 2008. View at Publisher · View at Google Scholar · View at Scopus
  10. Z. Huaguang, L. Cai, and Z. Bien, “A fuzzy basis function vector-based multivariable adaptive controller for nonlinear systems,” IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 30, no. 1, pp. 210–217, 2000. View at Publisher · View at Google Scholar · View at Scopus
  11. J. C. Garcia, J. J. Medel, and J. C. Sanchez, “Neural fuzzy digital filtering: multivariate identifier filters involving multiple inputs and multiple outputs (MIMO),” Ingenieria e Investigacion, vol. 31, no. 1, pp. 184–192, 2011. View at Google Scholar · View at Scopus
  12. R. M. Dudley, Real Analysis and Probability, Cambridge University Press, Cambridge, UK, 2004.
  13. H. Zhang, L. Cui, X. Zhang, and Y. Luo, “Data-driven robust approximate optimal tracking control for unknown general nonlinear systems using adaptive dynamic programming method,” IEEE Transactions on Neural Networks, vol. 22, no. 12, pp. 2226–2236, 2011. View at Publisher · View at Google Scholar · View at Scopus