Secure CheckoutPersonal information is secured with SSL technology.
Free ShippingFree global shipping
No minimum order.
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
Senior undergraduates; graduates in engineering and computer science. Process engineers, designers
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
- No. of pages:
- © Academic Press 2020
- 5th December 2020
- Academic Press
- Paperback ISBN:
- eBook ISBN:
Magdi S. Mahmoud is Distinguished Professor at King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia. He is the recipient of two national, one regional, and several university prizes for outstanding research in engineering and applied mathematics. He is a fellow of the IEE, a senior member of the IEEE and the CEI (United Kingdom), and a registered consultant engineer of information engineering and systems (Egypt). He is currently actively engaged in teaching and research in the development of modern methods for distributed control and filtering, networked control systems, triggering mechanisms in dynamical systems, fault-tolerant systems, and information technology.
Distinguished Professor, Systems Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia
Mojeed Oyedeji is currently a Ph.D candidate in the department of systems engineering at King Fahd University of Petroleum and Minerals with interests in distributed control systems, graph theory, game theory, predictive control and optimization. He holds a Bachelor Degree in Electrical and Electronics Engineering and a Masters Degree in Systems Engineering.
King Fahd University of Petroleum and Minerals, Systems Engineering Department, Dhahran, Saudi Arabia
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.
Professor, School of Automation, Beijing Institute of Technology, Beijing, China
Elsevier.com visitor survey
We are always looking for ways to improve customer experience on Elsevier.com.
We would like to ask you for a moment of your time to fill in a short questionnaire, at the end of your visit.
If you decide to participate, a new browser tab will open so you can complete the survey after you have completed your visit to this website.
Thanks in advance for your time.