A modified algorithm for iterative learning controllers using neural networks

Xuemei Ren; Zhihao Gong

A modified algorithm for iterative learning controllers using neural networks

Xuemei Ren^*
, Zhihao Gong

^*Corresponding author for this work

School of Automation

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-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 language	English
Pages (from-to)	350-354
Number of pages	5
Journal	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume	17
Issue number	3
Publication status	Published - 1997

Keywords

Iterative learning control
Neural networks
Nonlinear systems

Cite this

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title = "A modified algorithm for iterative learning controllers using neural networks",

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.",

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author = "Xuemei Ren and Zhihao Gong",

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T1 - A modified algorithm for iterative learning controllers using neural networks

AU - Ren, Xuemei

AU - Gong, Zhihao

PY - 1997

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N2 - 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.

AB - 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.

KW - Iterative learning control

KW - Neural networks

KW - Nonlinear systems

UR - https://www.scopus.com/pages/publications/71149095623

M3 - Article

AN - SCOPUS:71149095623

SN - 1001-0645

VL - 17

SP - 350

EP - 354

JO - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

JF - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

IS - 3

ER -

A modified algorithm for iterative learning controllers using neural networks

Abstract

Keywords

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