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…mehr
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.
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.
Inhaltsangabe
1. An overview 2. Consensus over fixed networks 3. Consensus in multiagent systems over time-varying networks 4. Distributed consensus of multiagent systems 5. Consensus over vulnerable networks 6. Consensus on state-dependent fuzzy graphs 7. Distributed consensus on state-dependent evolutionary graphs 8. Multivehicle cooperative control 9. Path planning in autonomous ground vehicles 10. Path planning in autonomous aerial vehicles
1. An overview 2. Consensus over fixed networks 3. Consensus in multiagent systems over time-varying networks 4. Distributed consensus of multiagent systems 5. Consensus over vulnerable networks 6. Consensus on state-dependent fuzzy graphs 7. Distributed consensus on state-dependent evolutionary graphs 8. Multivehicle cooperative control 9. Path planning in autonomous ground vehicles 10. Path planning in autonomous aerial vehicles
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