Date of Publication:2022-10-06

Journal:吉林大学学报 工学版

Volume:39

Issue:4

Page Number:1047-1051

ISSN No.:1671-5497

Abstract:A novel time delay neural network for dynamical system control was
   presented. By introducing time delay into the hidden neurons, a new
   neural network model with time delay was constructed. On the basis of
   Lyapunov stability approach, the training algorithm for determining the
   weights in neural network was developed and the control laws that ensure
   the stability of the control system were also developed. Apriori
   knowledge is not required in the proposed control method, and the
   control error converges to a small range near the zero point and remains
   within the range throughout the execution. Numerical control experiment
   for an ultrasonic motor was performed and the result validates the
   proposed algorithm.

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