Advanced Distributed Consensus for Multiagent Systems
Auteurs : Mahmoud Magdi S., Oyedeji Mojeed O., Xia Yuanqing
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.
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
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.
- 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
Date de parution : 12-2020
Ouvrage de 394 p.
15x22.8 cm
Thèmes d’Advanced Distributed Consensus for Multiagent Systems :
Mots-clés :
Adjacency matrix; Algorithm; Attitude dynamics and kinematics; Bio-inspired method; Bipartite consensus; Coalition; Cooperative game; Drone-assisted vehicular network; Eigenvalues and eigenvectors; Environment/threat modeling; Evolutionary stability; Extensive-form game; Fixed topologies; Game theory; Graph Laplacian; Ground vehicle system; Group consensus; Information exchange; Interpolating curve planner; Leader–follower consensus; Leaderless consensus; Load transportation problem; Models of agent dynamics; Moran process; Multirobot path-planning; Multivehicle cooperative control; Nonholonomic unicycle model; Path planning; Quadrotor; Resilient consensus; Sampling-based method; Scaled consensus; Single/double integrator model; State-dependent evolutionary graph; Strategy; Uncertain fully actuated model; Unmanned aerial vehicle; Unmanned aerial vehicle system; Unmanned ground vehicle; Vehicle model