运用图论方法研究多智能体网络。

简介：
This comprehensive book offers a foundational introduction to the examination and construction of dynamic multiagent networks. These networks are increasingly significant across diverse fields within science and engineering, encompassing areas like mobile sensor networks, distributed robotics – specifically including formation flying and swarming behaviors – quantum networks, networked economic models, biological synchronization phenomena, and the study of social networks. The book’s central focus lies on employing graph-theoretic methodologies for both the analysis and creation of dynamic multiagent networks, introducing a robust new framework alongside a suite of specialized tools tailored for complex networked systems. The book is structured into three distinct sections, beginning with fundamental principles, progressing to an exploration of multiagent networks themselves, and concluding by examining networks viewed as holistic systems. The authors provide a thorough survey of key concepts drawn from graph theory before detailing the agreement protocol and its various adaptations, considering its performance across undirected, directed, switching, and random network topologies. Coverage extends to crucial topics such as formation control strategies, area coverage optimization, distributed estimation techniques, modeling social network dynamics, and game theory applied over network structures. Furthermore, the text investigates compelling aspects related to perceiving networks as integrated systems by rendering them suitable for control-theoretic analysis through continuous monitoring of their dynamic progression and by scrutinizing higher-order interaction models using simplicial complexes – alongside their practical applications. This volume is particularly relevant for graduate students engaged in research within systems and control engineering disciplines alongside computer science and robotics fields. It will serve as a reliable reference resource for researchers seeking a consolidated account of system-theoretic perspectives concerning multiagent networks and their broad spectrum of applications. Notably, this publication has been incorporated into the curricula at several esteemed institutions including the University of Stuttgart in Germany; the Royal Institute of Technology in Sweden; Georgia Tech in the United States; the University of Washington in the United States; Ohio University in the United States.