Proceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control

Swarm Control Technologies
2024
ISBN: 978-981-97-3327-9
Verlag: Springer Nature Singapore

Buch, Englisch, 715 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1244 g

Reihe: Lecture Notes in Electrical Engineering

This book includes original, peer-reviewed research papers from the 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control (CCSICC2023), held in Nanjing, China on November 17-19, 2023. 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.

Zielgruppe

Research

Autoren/Hrsg.

Wang, Qing

Song, Peng

Dong, Xiwang

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Regelungstechnik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme

Über Autor(innen)

Qing Wang is currently a research associate with the School of Automation Science and Electrical Engineering, Beihang University, Beijing, China. His research interests include distributed control, optimization, and game for multi-agent systems.

Xiwang Dong is with the Institute of Artificial Intelligence, Beihang University, Beijing 100191, China, also with the Science and Technology on

Aircraft Control Laboratory and School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China, and also with the Key Laboratory of Dependable Service Computing in Cyber Physical Society (Chongqing University), Ministry of Education of China, Chongqing University, Chongqing 400044, China.

Xiwang Dong received the B.E. degree in automation from Chongqing University, Chongqing, China, in 2009, and the Ph.D. degree in control science and engineering from Tsinghua.

University, Beijing, China, in 2014. From 2014 to 2015, he was a Research Fellow with the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, and from 2014 to 2018, 

he was a Lecturer with the School of Automation Science and Electrical Engineering, Beihang University, Beijing, where he is currently a professor, and also an Associate Dean with the Institute of Artificial Intelligence. 

His research interests include consensus, formation control, and containment control of swarm systems with applications to UAV swarm systems. 

Prof. Dong was the recipient of the National Natural Science Fund for Excellent Young Scholars in 2019 and the Wu Wenjun Artificial Intelligence Excellent Youth 

Award in 2018, and 2015. His four papers was also the recipient of the Best Paper Awards or Best Paper Nomination Awards in IEEE or IFAC conferences.

Peng Song is with the Chinese Institute of Command and Control, 10th Floor, Building 1, No.10, Chedaogou, Haidian District, Beijing, China (100089).

Peng Song is Deputy Secretary General with the Chinese Institute of Command and Control. His research interests include Command and Control, Intelligent command and scheduling system.