Overview
- Integrates network structure and learning control expertise to develop innovative iterative learning strategies
- Considers network communication constraints and use ILC techniques to achieve system stability and consensus
- Enhances network system security under communication constraints to resist risks effectively
Part of the book series: Intelligent Control and Learning Systems (ICLS, volume 12)
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Table of contents (12 chapters)
Keywords
About this book
Suitable for both undergraduate and graduate students interested in networked systems and iterative learning control, this book alsoserves as a valuable resource for university faculty and engineers engaged in complex systems, control theory research, and real-world applications. Its broad appeal extends to professionals working in related fields, seeking a deeper understanding of networked systems and their control mechanisms.
Authors and Affiliations
About the authors
Dr. Zijian Luo received his B.S. and M.Sc. degrees from Guizhou University in 2013 and 2017, respectively. And he will receive the Ph.D. degree in the School of Computing and Artificial Intelligence, Southwestern University of Finance and Economics, Chengdu, China, in 2023. His current research interests include iterative learning control, complex networks, differential equations, and distributed control.
Prof. Daniel W. C. Ho received B.S., M.S., and Ph.D. degrees in mathematics from the University of Salford, Greater Manchester, UK, in 1980, 1982, and 1986, respectively. From 1985 to 1988, he was Research Fellow with the Industrial Control Unit, University of Strathclyde, Glasgow, UK. In 1989, he joined the City University of Hong Kong, where he is currently Chair Professor of Applied Mathematics and Associate Dean of the College of Science. He has over 270 publications in scientific journals. His research interests include control and estimation theory, complex dynamical distributed networks, multiagent systems, and stochastic systems.
Bibliographic Information
Book Title: Iterative Learning Control for Network Systems Under Constrained Information Communication
Authors: Wenjun Xiong, Zijian Luo, Daniel W. C. Ho
Series Title: Intelligent Control and Learning Systems
DOI: https://doi.org/10.1007/978-981-97-0926-7
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024
Hardcover ISBN: 978-981-97-0925-0Published: 27 March 2024
Softcover ISBN: 978-981-97-0928-1Due: 27 April 2024
eBook ISBN: 978-981-97-0926-7Published: 26 March 2024
Series ISSN: 2662-5458
Series E-ISSN: 2662-5466
Edition Number: 1
Number of Pages: XI, 223
Number of Illustrations: 1 b/w illustrations, 52 illustrations in colour
Topics: Control and Systems Theory, Complex Systems, Multiagent Systems, Communications Engineering, Networks