Proceedings of 2021 5th Chinese Conference on Swarm Intelligence and Cooperative Control -

Proceedings of 2021 5th Chinese Conference on Swarm Intelligence and Cooperative Control (eBook)

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2022 | 1. Auflage
XIX, 1883 Seiten
Springer Nature Singapore (Verlag)
978-981-19-3998-3 (ISBN)
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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.



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.


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.
Erscheint lt. Verlag 29.7.2022
Reihe/Serie Lecture Notes in Electrical Engineering
Zusatzinfo XIX, 1883 p. 887 illus., 712 illus. in color.
Sprache englisch
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Naturwissenschaften
Technik Bauwesen
Technik Elektrotechnik / Energietechnik
Schlagworte autonomous planning • Cooperative Control • cooperative guidance • distributed decision-making • Multi-agent Systems • Swarm intelligence • swarm perception • Swarm systems
ISBN-10 981-19-3998-5 / 9811939985
ISBN-13 978-981-19-3998-3 / 9789811939983
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