• Home /
  • Proceedings of 2024 Chinese Intelligent Systems Conference (eBook)

Proceedings of 2024 Chinese Intelligent Systems Conference (eBook)

Volume III
Artikelnummer: 978-981-9786-58-9
Einband: PDF
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
CHF 354.00
decrease increase

This book constitutes the proceedings of the 20th Chinese Intelligent Systems Conference, CISC 2024, which was held on October 26-27, 2024, in Guilin, Guangxi, China. The book focuses on new theoretical results and techniques in the field of intelligent systems and control. This is achieved by providing in-depth studies of a number of important topics such as multi-agent systems, complex networks, intelligent robots, complex systems theory and swarm behaviour, event-driven and data-driven control, robust and adaptive control, big data and brain science, process control, intelligent sensors and detection technology, deep learning and learning control, navigation and control of flying vehicles, and so on. The book is particularly suitable for readers interested in learning intelligent systems and control and artificial intelligence. The book can benefit researchers, engineers and graduate students.


This book constitutes the proceedings of the 20th Chinese Intelligent Systems Conference, CISC 2024, which was held on October 26-27, 2024, in Guilin, Guangxi, China. The book focuses on new theoretical results and techniques in the field of intelligent systems and control. This is achieved by providing in-depth studies of a number of important topics such as multi-agent systems, complex networks, intelligent robots, complex systems theory and swarm behaviour, event-driven and data-driven control, robust and adaptive control, big data and brain science, process control, intelligent sensors and detection technology, deep learning and learning control, navigation and control of flying vehicles, and so on. The book is particularly suitable for readers interested in learning intelligent systems and control and artificial intelligence. The book can benefit researchers, engineers and graduate students.


Schreiben Sie Ihre eigene Bewertung
  • Nur registrierte Benutzer können Produkte bewerten
*
*
Schlecht
Sehr gut
*
*
*
*
VerlagSpringer Nature Singapore
EinbandPDF
Erscheinungsjahr2024
Seitenangabe709 S.
AusgabekennzeichenEnglisch
AbbildungenX, 709 p. 350 illus., 298 illus. in color.
Masse78'763 KB
PlattformPDF
ReiheLecture Notes in Electrical Engineering; Intelligent Technologies and Robotics; Intelligent Technologies and Robotics ; Springer Nature Proceedings excluding Computer Science
AutorJia, Yingmin (Hrsg.) / Zhang, Weicun (Hrsg.) / Fu, Yongling (Hrsg.) / Yang, Huihua (Hrsg.)

Alle Bände der Reihe "Lecture Notes in Electrical Engineering; Intelligent Technologies and Robotics; Intelligent Technologies and Robotics (R0); Springer Nature Proceedings excluding Computer Science"

Über den Autor Yingmin (Hrsg.) Jia

Yingmin Jia (Senior Member, IEEE) received the B.S. degree in control theory from Shandong University, Jinan, China, in 1982, and the M.S. and Ph.D. degrees both in control theory and applications from Beihang University, Beijing, China, in 1990 and 1993, respectively. In 1993, he joined the Seventh Research Division, Beihang University, where he is currently a professor with the School of Automation Science and Electrical Engineering. His research interests include robust control, intelligent control, and their applications in robot systems and aerospace systems. Weicun Zhang is an associate professor of the School of Automation and Electrical Engineering, University of Science and Technology Beijing. He earned his Ph. D degree from Tsinghua University in the field of control theory. His research interests include: self-tuning adaptive control, multiple model adaptive control/estimation of both linear and nonlinear systems. As representative research work, he established a Virtual Equivalent System (VES) theory for unified analysis of adaptive control systems, which is independent of specific control strategy and parameter estimation algorithm. Yongling Fu (Member of ICAS) received the B.S. degree in Engineering Equipment from the Institute of Hebei Construction Engineering, Zhangjiakou, China, in 1987, and the M.S. and Ph.D. degrees both in Fluid Transmission and control from the Harbin Institute of Technology, Harbin, China, in 1990 and 1993, respectively. In 1993, he joined the Automation Control Department, Beihang University, where he is currently a professor with the School of Mechanical Engineering and Automation. His research interests include mechtronics engineering, special robots and intelligent control. He focuses on their applications in industrial systems and aerospace systems. Yang Liu received the B.S. degree in mathematics and the Ph.D. degree in control theory and applications both from Beihang University (BUAA), Beijing, China, in 2005 and 2010, respectively. She joined the Seventh Research Division, Beihang University since 2010, where she is currently an associate professor with the School of Automation Science and Electrical Engineering. Her research interests include multi-agent system, robust control and intelligent control.

Weitere Titel von Yingmin (Hrsg.) Jia

Produktbewertungen
Nur registrierte Benutzer können Produkte bewerten