Discrete-time Adaptive Iterative Learning Control

Name: Discrete-time Adaptive Iterative Learning Control
Author: Chi, Ronghu|Lin, Na|Zhang, Huimin|Zhang, Ruikun
ISBN: 9789811904639

Chi, Ronghu|Lin, Na|Zhang, Huimin|Zhang, Ruikun

Language: English

Published by Springer, Berlin|Springer Nature Singapore|Springer, 2022

9811904634 / 9789811904639

Series: Book 2 of 2 - Intelligent Control and Learning Systems

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Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The discrete-time adaptive iterative learning control (DAILC) is discussed as a cutting-edge of ILC and can address random initial states, iteration-varying targets, and other non-repetitive uncertainties in practical applications.This book belongs to t.

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Title: Discrete-time Adaptive Iterative Learning Control
Author: Chi, Ronghu|Lin, Na|Zhang, Huimin|Zhang, Ruikun
Publisher: Springer, Berlin|Springer Nature Singapore|Springer
Publication year: 2022
Condition: New
Binding: Gebunden
Language: English
ISBN 10: 9811904634
ISBN 13: 9789811904639
Series: Book 2 of 2: Intelligent Control and Learning Systems

About the Author

Ronghu Chi received the Ph.D. degree from Beijing Jiaotong University, Beijing China, in 2007. He was Visiting Scholar with Nanyang Technological University, Singapore, from 2011 to 2012 and Visiting Professor with University of Alberta, Edmonton, AB, Canada, from 2014 to 2015. In 2007, he joined Qingdao University of Science and Technology, Qingdao, China, and is currently a full professor in the School of Automation and Electronic Engineering. He served as various positions in international conferences and was an invited guest editor of International Journal of Automation and Computing. He has also served as a council member of a Shandong Institute of Automation and the deputy director of the technical committee of Data-driven Control, Learning and Optimization Professional Committee, etc. He was awarded the “Taishan scholarship” in 2016. His current research interests include iterative learning control, data-driven control, intelligent transportation systems and so on. He has published over 100 papers in important international journals and conference proceedings.

Na Lin received the M.Sc. degree in automatic control from the Qingdao University of Science and Technology, Qingdao, China, in 2017, where she is currently pursuing the Ph.D. degree in automatic control with the Institute of Artificial Intelligence and Control, School of Automation and Electronic Engineering. Her current research interests include data-driven control and iterative learning control.

Huimin Zhang received the bachelor's degree in electrical engineering and automation from University of Jinan, Jinan, Shandong, China, in 2017. She is currently pursuing the doctoral degree with the Institute of Artificial Intelligence and Control, School of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao, China. Her research interests include data-driven control, iterative learning control, networked system control, and data quantization methods.

Ruikun Zhang received his B.S. and M.S. degrees in applied mathematics from Qingdao University, Qingdao, China, in 2003 and Zhejiang University, Hangzhou, China, in 2006, respectively. In 2006, he joined Qingdao University of Science and Technology and is currently an associate professor in the school of mathematics and physics. In 2016, he received the Ph.D. degree from Beijing Jiaotong University, Beijing China. His research interests include iterative learning control, robust control, and adaptive control.

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