Proceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control (eBook, PDF)

Swarm Decision and Planning Technologies
Redaktion: Li, Xiaoduo; Zhou, Yingjiang; Song, Xun

• Format: PDF

Produktbeschreibung

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.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 703
• Erscheinungstermin: 14. Juni 2024
• Englisch
• ISBN-13: 9789819733361
• Artikelnr.: 70970945

Autorenporträt

Xiaoduo Li is with the Institute of Artificial Intelligence and Sino-French Engineer School, Beihang University, Beijing 100191, China. Xiaoduo Li is currently an Assistant Professor with the Institute of Artificial Intelligence and Sino-French Engineer School, Beihang University, Beijing, China. His research interests include decision making, trajectory planning and cooperative control for multi-agent systems.   Xun Song is with the Sun Yat-Sen University, China.Xun Song received his Ph.D. degree in Control Science and Engineering from Beihang University, Beijing, China, in 2012. His research interests include aircraft guidance, navigation and control, and cooperative control of multi-agent systems.   Yingjiang Zhou is with the Colloege of Automation ¿ Colloege of Artificial Intelligence, Nanjing University ofPosts and Telecommunications, Nanjing 210023, China. Yingjiang Zhou was born in Wuwei, Anhui Province, China in 1984. He received the M.S. degrees in control theory and control engineering from Hohai University, Nanjing, Jiangsu Province, in 2010 and the Ph.D. degree in control theory and control engineering from Southeast University, Nanjing, Jiangsu Province, in 2014. Since 2015, he has been an associate professor with the College of Automation & College of Artificial Intelligence, Nanjing University of Posts and Telecommunications. His research interests include Finite time control of nonlinear systems, Network control system, Cybersecurity dynamics, Consensus of distributed multi-agent system and its applications.