Advanced Distributed Consensus for Multiagent Systems - Brossura

Mahmoud, Magdi S.; Oyedeji, Mojeed O.; Xia, Yuanqing

Brossura

ISBN 10: 0128211865 ISBN 13: 9780128211861

Casa editrice: Academic Pr, 2020

Riassunto

Advanced Distributed Consensus for Multiagent Systems contributes to the further development of advanced distributed consensus methods for different classes of multiagent methods. The book expands the field of coordinated multiagent dynamic systems, including discussions on swarms, multi-vehicle and swarm robotics. In addition, it addresses advanced distributed methods for the important topic of multiagent systems, with a goal of providing a high-level treatment of consensus to different versions while preserving systematic analysis of the material and providing an accounting to math development in a unified way. This book is suitable for graduate courses in electrical, mechanical and computer science departments.

Consensus control in multiagent systems is becoming increasingly popular among researchers due to its applicability in analyzing and designing coordination behaviors among agents in multiagent frameworks. Multiagent systems have been a fascinating subject amongst researchers as their practical applications span multiple fields ranging from robotics, control theory, systems biology, evolutionary biology, power systems, social and political systems to mention a few.

Su questo libro

Informazioni sugli autori

Magdi S. Mahmoud is a distinguished professor at King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia. He has been faculty member at different universities worldwide including Egypt (CU, AUC), Kuwait (KU), UAE (UAEU), UK (UMIST), USA (Pitt, Case Western), Singapore (Nanyang), and Australia (Adelaide). He lectured in Venezuela (Caracas), Germany (Hanover), UK (Kent), USA (UoSA), Canada (Montreal) and China (BIT, Yanshan). He is the principal author of 51 books, inclusive book-chapters, and author/co-author of more than 610 peer-reviewed papers. He is a fellow of the IEE and a senior member of the IEEE, the CEI (UK). He is currently actively engaged in teaching and research in the development of modern methodologies to distributed control and filtering, networked control systems, fault-tolerant systems, cyberphysical systems, and information technology.

Mojeed Oyedeji is presently a post-doctoral candidate at the Control & Instrumentation Engineering (CIE) Department, King Fahd University of Petroleum and Minerals (KFUPM). He obtained his PhD and MSc Degrees in Systems and Control Engineering from KFUPM in 2020 and 2017 respectively. His research interests are in the fields of renewable energy, distributed and model predictive control, and artificial intelligence.

Yuanqing Xia has worked in the Department of Automatic Control, Beijing Institute of Technology, Beijing, since 2004, first as an associate professor, and, since 2008, as a professor. He is a Yangtze River Scholar and Chair Professor of the Beijing Institute of Technology since 2016. His current research interests are in the fields of networked control systems, robust control, sliding mode control, active disturbance rejection control, biomedical signal processing, and cloud control systems.

Dalla quarta di copertina

Consensus control in multiagent systems is becoming increasingly popular among researchers due to its applicability in analyzing and designing coordination behaviors among agents in multiagent framework. Multiagent systems have been a fascinating subject amongst researchers as their practical applications span multiple fields ranging from robotics, control theory, systems biology, evolutionary biology, power systems, social and political systems to mention a few.

Advanced Distributed Consensus for Multiagent Systems contributes to the further development of advanced distributed consensus methods for different classes of multiagent methods. It expands the field of coordinated multiagent dynamic systems including swarms, multi-vehicle and swarm robotics that has become increasingly popular in recent years.

The book addresses advanced distributed methods for this important topic of multiagent systems. The main goal is to provide a high-level treatment of the consensus problem to different versions MAS while preserving systematic analysis of the material and providing account to the math development in a unified way. This book is suitable for graduate courses in electrical, mechanical and computer science departments

Dettagli dell?edizione

• Editore: Academic Pr
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 0128211865
• ISBN 13: 9780128211861
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 371
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile