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Advanced Distributed Consensus for Multiagent Systems

Autor Magdi S. Mahmoud, Mojeed O. Oyedeji, Yuanqing Xia
en Limba Engleză Paperback – 9 dec 2020
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.


  • Gathers together the theoretical preliminaries and fundamental issues related to multiagent systems and controls
  • Provides coherent results on adopting a multiagent framework for critically examining problems in smart microgrid systems
  • Presents advanced analysis of multiagent systems under cyberphysical attacks and develops resilient control strategies to guarantee safe operation
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Specificații

ISBN-13: 9780128211861
ISBN-10: 0128211865
Pagini: 394
Dimensiuni: 152 x 229 x 23 mm
Greutate: 0.53 kg
Editura: ELSEVIER SCIENCE

Cuprins

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