Overview
- Presents the selected papers of 2021 5th Chinese Conference on Swarm Intelligence and Cooperative Control
- Covers a range of emerging topics in swarm Intelligence, autonomous decision-making, and cooperative control
- Applicable across virtually all engineering domains and will appeal to a broad and diverse readership
Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 934)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
This book includes original, peer-reviewed research papers from the 2021 5th Chinese Conference on Swarm Intelligence and Cooperative Control (CCSICC2021), held in Shenzhen, China on January 19-22, 2022. The topics covered include but are not limited to: reviews and discussions of swarm intelligence, basic theories on swarm intelligence, swarm communication and networking, swarm perception, awareness and location, swarm decision and planning, cooperative control, cooperative guidance, swarm simulation and assessment. The papers showcased here share the latest findings on theories, algorithms and applications in swarm intelligence and cooperative control, making the book a valuable asset for researchers, engineers, and university students alike.
Similar content being viewed by others
Keywords
Table of contents (173 papers)
-
Front Matter
Editors and Affiliations
About the editors
Zhang Ren received the B.E., M.E. and Ph.D. degrees in Aircraft Guidance, Navigation, and Simulation from Northwestern Polytechnical University, Xi’an, China, in 1982, 1985 and 1994, respectively. From 1995 to 1998, he was a Professor in School of Marine Engineering, Northwestern Polytechnical University, Xi’an, China. From 1999 to 2000, he held the Visiting Professor positions with University of California, Riverside, and Louisiana State University, USA, respectively. He is now a Professor with the School of Automation Science and Electrical Engineering, Beihang University, Beijing, China and also the recipient of the Chang Jiang Professorship awarded by the Education Ministry of China. His research interests include aircraft guidance, navigation and control, fault detection, isolation and recovery, and cooperative control of multi-agent systems.
Mengyi Wang received the B.E. degree in Automation from Beihang University, Beijing, China, in 2004 and the Ph.D. degree in Guidance, Navigation and Control from Beijing Institute of Electronic System Engineering, Beijing, China, in 2009. Currently, he is a Deputy Director with Beijing Institute of Electronic System Engineering, Beijing, China. His current research interests include guidance, navigation and control, swarm intelligence and cooperative control, and system design and simulation.
Yongzhao Hua received the B.E. and Ph.D. degrees in Guidance, Navigation and Control from Beihang University, Beijing, China, in 2014 and 2019, respectively. From 2019 to 2020, he was a Postdoctoral Research Associate with Department of Aerospace Engineering, University of Bristol, Bristol, UK. He is currently an Associate Professor in Institute of Artificial Intelligence, Beihang University, Beijing, China. His current research interests include distributed control, optimization, and game for multi-agent systems.
Bibliographic Information
Book Title: Proceedings of 2021 5th Chinese Conference on Swarm Intelligence and Cooperative Control
Editors: Zhang Ren, Mengyi Wang, Yongzhao Hua
Series Title: Lecture Notes in Electrical Engineering
DOI: https://doi.org/10.1007/978-981-19-3998-3
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023
Hardcover ISBN: 978-981-19-3997-6Published: 30 July 2022
Softcover ISBN: 978-981-19-3999-0Published: 30 July 2023
eBook ISBN: 978-981-19-3998-3Published: 29 July 2022
Series ISSN: 1876-1100
Series E-ISSN: 1876-1119
Edition Number: 1
Number of Pages: XIX, 1883
Number of Illustrations: 175 b/w illustrations, 712 illustrations in colour
Topics: Signal, Image and Speech Processing, Computational Intelligence, Multiagent Systems, Systems Theory, Control