Time-Varying Neurocomputing: An Iterative Learning Perspective

  • Ming-xuan Sun
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7390)


This paper proposes a unified architecture of time-varying neural networks for implementing unknown time-varying mappings. The methodology of iterative learning is applied for the network training, and a modified iterative learning least squares algorithm is presented. Under the assumption of bounded input signals, convergence results of the proposed learning algorithm are given. In order to realize periodic mappings, periodic neural networks are characterized and a periodic learning algorithm is presented for training such neural networks.


Neural networks least squares learning algorithms time-varying system identification 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Haykin, S.: Neural Networks: A Comprehensive Foundation. Prentice-Hall, Upper Saddle River (1999)zbMATHGoogle Scholar
  2. 2.
    Ham, F.M., Kostanic, I.: Principles of Neurocomputing for Science & Engineering. McGraw-Hill, New York (2001)Google Scholar
  3. 3.
    Liu, G.P.: Nonlinear Identification and Control: A neural network Approach. Springer, London (2001)zbMATHGoogle Scholar
  4. 4.
    Khalil, H.K.: Nonlinear Systems, 3rd edn. Prentice Hall, New York (2002)zbMATHGoogle Scholar
  5. 5.
    Richards, J.A.: Analysis of Periodically Time-Varying Systems. Springer, Berlin (1983)zbMATHGoogle Scholar
  6. 6.
    Arimoto, S.: Control Theory of Non-linear Mechanical Systems: A passivity-based and circuit-theoretic approach. Oxford University Press, Oxford (1996)zbMATHGoogle Scholar
  7. 7.
    Sun, M.: Iterative Learning Neurocomputing. In: Proceedings of 2009 International Conference on Wireless Networks and Information Systems, Shanghai, China, December 28-29, pp. 158–161 (2009)Google Scholar
  8. 8.
    Goodwin, G.C., Sin, K.S.: Adaptive Filtering Prediction and Control. Prentice-Hall, Englewood Cliffs (1984)zbMATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Ming-xuan Sun
    • 1
  1. 1.College of Information EngineeringZhejiang University of TechnologyHangzhouChina

Personalised recommendations