A modified algorithm for iterative learning controllers using neural networks

Xuemei Ren*, Zhihao Gong

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

An iterative learning controller using neural networks is presented for nonlinear systems. In order to speed up the convergence of iterative learning controller algorithm, the improved algorithm is employed in neural networks, which develops an iterative method to compute the weights, and this leads to reduce the amount of computation and speed up the convergence of learning. Finally the simulation results are given.

Original languageEnglish
Pages (from-to)350-354
Number of pages5
JournalBeijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume17
Issue number3
Publication statusPublished - 1997

Keywords

  • Iterative learning control
  • Neural networks
  • Nonlinear systems

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