Neural Identifier-Control Scheme for Nonlinear Discrete Systems with Input Delay

  • Jorge D. Rios
  • Alma Y. AlanísEmail author
  • Nancy Arana-Daniel
  • Carlos López-Franco
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 648)


This work presents a scheme based on a discrete recurrent high order neural network identifier and a block control based on sliding modes for nonlinear discrete-time systems with input delays in real-time. The identifier is trained with an extended Kalman Filter based algorithm and the block control is used for trajectory tracking. Experimental results are included using a linear induction motor prototype with added delays to its input signals.


Extended Kalman filter training Neural block control Neural identification Real-time Time-delay 



The authors thank the support of CONACYT Mexico, through Projects CB256769 and CB258068 (“Project supported by Fondo Sectorial de Investigación para la Educación”).


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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Jorge D. Rios
    • 1
  • Alma Y. Alanís
    • 1
    Email author
  • Nancy Arana-Daniel
    • 1
  • Carlos López-Franco
    • 1
  1. 1.Universidad de Guadalajara, Centro Universitario de Ciencias Exactas e IngenieríasGuadalajaraMexico

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