Method for predicting the lost input of iterative learning control systems over AWGN channels

Author:

Huang Lixun1,Wang Huan2ORCID,Sun Lijun3,Chen Tianfei3,Zhang Qiuwen2,Liu Weihua1,Zhang Yuanyuan1

Affiliation:

1. School of Electronics and Information, Zhengzhou University of Light Industry, Zhengzhou, People's Republic of China

2. School of Computer Science and Techonology, Zhengzhou University of Light Industry, Zhengzhou, People's Republic of China

3. College of Information Science and Engineering, Henan University of Technology, Zhengzhou, People's Republic of China

Funder

Henan Provincical Science and Technology Research Project

National Natural Science Foundation of China

Basic Research Projects of Education Department of Henan

Postgraduate Education Reform and Quality Improvement Project of Henan Province

Innovative Funds Plans of Henan University of Technology

Zhengzhou Science and Technology Collaborative Innovation Project

Publisher

Informa UK Limited

Reference37 articles.

1. H. Ahn K. Moore and Y. Chen Kalman filter-augmented iterative learning control on the iteration domain in Proc. the American Control Conference Minneapolis USA 2006 pp. 250–255

2. Iterative Learning Control: Brief Survey and Categorization

3. B. Anderson and J. Moore, Optimal filtering, Prentice-Hall, Englewood Cliffs, NJ, 1979.

4. Bettering operation of Robots by learning

5. A survey of iterative learning control

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