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International Journal of Aerospace Engineering
Volume 2011 (2011), Article ID 247294, 7 pages
http://dx.doi.org/10.1155/2011/247294
Research Article

Efficient Neural Network Modeling for Flight and Space Dynamics Simulation

Aerospace Engineering Department, Cairo University, Cairo 12613, Egypt

Received 26 March 2011; Revised 19 July 2011; Accepted 9 August 2011

Academic Editor: C. B. Allen

Copyright © 2011 Ayman Hamdy Kassem. 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. M. T. Hagan, H. B. Demuth, and M. Beale, Neural Network Design, PWS Publishing Company, Boston, Mass, USA, 1995.
  2. K. Hornik, M. Stinchcombe, and H. White, “Multilayer feedforward networks are universal approximators,” Neural Networks, vol. 2, no. 5, pp. 359–366, 1989. View at Google Scholar · View at Scopus
  3. L. K. Jones, “Constructive approximations for neural networks by sigmoidal functions,” Proceedings of the IEEE, vol. 78, no. 10, pp. 1586–1589, 1990. View at Publisher · View at Google Scholar · View at Scopus
  4. T. L. Burrows and M. Niranjan, “Feed-forward and recurrent neural networks for system identification,” Tech. Rep., Cambridge University Engineering Department, CUED/F-INFENG/TR158, 1993. View at Google Scholar
  5. S. S. Haykin, Neural Networks: A Comprehensive Foundation, Prentice Hall, 2nd edition, 1998.
  6. M. Norgaard, O. Ravn, K. N. Poulsen, and L. K. Hansen, Neural Networks for Modelling and Control of Dynamic Systems, Springer, London, UK, 2001.
  7. J. S. Pei and A. W. Smyth, “A new approach to design multilayer feedforward neural network architecture in modeling nonlinear restoring forces,” Smart Structures and Materials 2005: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, pp.345–353, 2005.
  8. Johan A. K. Suykens, Joos P. L. Vandewalle, and B. L. De Moor, Artificial Neural Networks For Modelling And Control Of Non-Linear Systems, Springer, New York, NY, USA, 1995.
  9. O. Nelles, Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models, Springer, New York, NY, USA, 2000.
  10. I. W. Sandberg, J. T. Lo, C. L. Fancourt, J. C. Principe, S. Katagiri, and S. Haykin, Nonlinear Dynamical Systems: Feedforward Neural Network Perspectives, Wiley-Interscience, New York, NY, USA, 2001.
  11. M. Kaiser, “Time-delay neural networks for control,” in Proceedings of the 4th International Symposium on Robot Control (SYROCO '94), Capri, Italy, 2004.
  12. A. Kassem and A. Sameh, “A Fast technique for modeling and control of dynamic systems,” in Proceedings of the 17th International Conference on Computers and Their Applications (ISCA '02), pp. 83–87, July 2002.
  13. A. Waibel, T. Hanazawa, G. Hinton, K. Shikano, and K. J. Lang, “Phoneme recognition using time-delay neural networks,” IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 37, no. 3, pp. 328–339, 1989. View at Publisher · View at Google Scholar · View at Scopus
  14. Benjamin C. Kuo, Automatic Control Systems, Prentice-Hall, 1995.
  15. D. Obradovic, “On-line training of recurrent neural networks with continuous topology adaptation,” IEEE Transactions on Neural Networks, vol. 7, no. 1, pp. 222–228, 1996. View at Google Scholar · View at Scopus
  16. B. L. Stevens and F. L. Lewis, Aircraft Control and Simulation, John Wiley & Sons, New York, NY, USA, 1992.
  17. R. R. Mohler, “Nonlinear Stability and Control Study of Highly Maneuverable High Performance Aircraft,” NASA OSU-ECERept 91-01, 1991.
  18. A. Kassem, “Efficient neural network modeling for flight dynamics equations,” in Proceedings of the International Conference on Modeling, Simulation & Visualization Methods, (MSV '10), Las Vegas, Nev, USA, July 2010.
  19. A. Omran and B. Newman, “Piecewise global volterra nonlinear modeling and characterization for aircraft dynamics,” Journal of Guidance, Control, and Dynamics, vol. 32, no. 3, pp. 749–759, 2009. View at Publisher · View at Google Scholar · View at Scopus
  20. T. Habib, A. Kassem, and G. El-Bayoumi, “GPS-based small satellite position and attitude determination simulator,” Journal of Engineering and Applied Science, vol. 52, no. 1, pp. 71–87, 2005. View at Google Scholar · View at Scopus