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Data‐based iterative learning control for multiphase batch processes

  • Published:2022-08-25 Issue:2 Volume:25 Page:1392-1406
  • ISSN:1561-8625
  • Container-title:Asian Journal of Control
  • language:en
  • Short-container-title:Asian Journal of Control

Author:

Geng Yan1ORCID,Ruan Xiaoe2,Yang Xuan1,Zhou Qinghua3

Affiliation:

1. Department of Applied Mathematics, School of Sciences Xi'an Polytechnic University Xi'an China

2. Department of Applied Mathematics, School of Mathematics and Statistics Xi'an Jiaotong University Xi'an China

3. Research Center for Applied Mathematics and Interdisciplinary Sciences Beijing Normal University Zhuhai China

Funder

National Natural Science Foundation of China

Natural Science Basic Research Program of Shaanxi Province

Publisher

Wiley

Subject

Control and Systems Engineering,Electrical and Electronic Engineering,Mathematics (miscellaneous)

Reference31 articles.

1. Bettering operation of robots by learning;Arimoto S.;J. Robot. Syst.,1984

2. Iterative Learning Control: Brief Survey and Categorization

3. Survey on stochastic iterative learning control

4. Networked iterative learning control design for nonlinear systems with stochastic output packet dropouts;Liu J.;Asian J. Control,2017

5. Monotone convergence rate of norm‐optimal‐gain‐arguable iterative learning control for LDTI systems

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Iterative Learning Control Research Based on RBF Neural Network and PSO Algorithm;2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS);2023-05-12

2. Design of robust fuzzy iterative learning control for nonlinear batch processes;Mathematical Biosciences and Engineering;2023
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