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Elsevier

Advanced Distributed Consensus for Multiagent Systems

  • 1st Edition - December 5, 2020
  • Latest edition
  • Authors: Magdi S. Mahmoud, Mojeed O. Oyedeji, Yuanqing Xia
  • Language: English

Advanced Distributed Consensus for Multiagent Systems contributes to the further development of advanced distributed consensus methods for different classes of multiagent methods.… Read more

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Description

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.

Key features

  • 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

Readership

Senior undergraduates; graduates in engineering and computer science. Process engineers, designers

Table of contents

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

Product details

  • Edition: 1
  • Latest edition
  • Published: December 10, 2020
  • Language: English

About the authors

MM

Magdi S. Mahmoud

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.
Affiliations and expertise
Distinguished Professor, Systems Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia

MO

Mojeed O. Oyedeji

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.
Affiliations and expertise
King Fahd University of Petroleum and Minerals, Systems Engineering Department, Dhahran, Saudi Arabia

YX

Yuanqing Xia

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.
Affiliations and expertise
Professor, School of Automation, Beijing Institute of Technology, Beijing, China

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