Time-delay wavelet neural networks model with application to ship control

  • Authors:
  • Wenjun Zhang;Zhengjiang Liu;Manfu Xue

  • Affiliations:
  • Navigation College, Dalian Maritime University, Dalian, China;Navigation College, Dalian Maritime University, Dalian, China;Navigation College, Dalian Maritime University, Dalian, China

  • Venue:
  • ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part II
  • Year:
  • 2012

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Abstract

A time-delay wavelet neural network (TDWNN) is introduced to realize system identification based on model of nonlinear auto-regressive with exogenous inputs (NARX). The method incorporates the delayed massage and the gradient message of the system, is able to reflect the changing tendency of system. Multi-objective optimization method is used to estimate the network coefficient. The wavelet-network-based identification model is used for online system identification, and the experiment result of ship course control proved the efficiency of the identification model.