Distributed Coordination of Multi-agent Networks

Distributed Coordination of Multi-agent Networks introduces problems, models, and issues such as collective periodic motion coordination, collective tracking with a dynamic leader, and containment control with multiple leaders, and explores ideas for their solution. Solving these problems extends the existing application domains of multi-agent networks; for example, collective periodic motion coordination is appropriate for applications involving repetitive movements, collective tracking guarantees tracking of a dynamic leader by multiple followers in the presence of reduced interaction and partial measurements, and containment control enables maneuvering of multiple followers by multiple leaders.

Provides the reader with source code to replicate the simulation examples found in the book Experimental video and simulation animations available for the authors' website Introduces readers to new research directions and problems in an exciting and active field in control and robotics Includes supplementary material: sn.pub/extras

Autorentext

Wei Ren was born in 1968 and graduated from Nankai University in 2001. He is currently the tutor of postgraduate students in the School of History of Zhengzhou University and the School of History of Nankai University. He is the Director of the Bureau of Cultural Relics of Zhengzhou City and the Executive Editor of the magazine Gudu Zhengzhou. The main research directions are Shang and Zhou history, archaeology and cultural heritage protection. He has participated in the national "Ninth Five-Year Plan" major scientific research projects, "Xia, Shang and Zhou dynasties project", "the study of historical buildings in heaven and earth", "the protection of cultural heritage in the construction of new urbanization" and other topics. Yan He, graduated from the School of Architecture of Tsinghua University, is a Professor from Guo Dailu. She is engaged in planning, designing and planning of industries related to architecture and urban heritage protection, andin the practice of digital reproduction and industrial transformation of cultural heritage. She is the project leader of the National Science and Technology Support Plan "Reproduction of Glory" Digital Yuanmingyuan Research and Cultural Tourism Application Demonstration Project. She is currently the Dean of Beijing Qingcheng Ruixian Institute of Digital Science and Technology, Tsinghua University, and the General Manager of Beijing Digital Yuanming Technology and Culture Co., Ltd.

Klappentext
Multi-agent systems have numerous civilian, homeland security, and military applications; however, for all these applications, communication bandwidth, sensing range, power constraints, and stealth requirements preclude centralized command and control. The alternative is distributed coordination, which is more promising in terms of scalability, robustness, and flexibility. Distributed Coordination of Multi-agent Networks introduces problems, models, and issues such as collective periodic motion coordination, collective tracking with a dynamic leader, and containment control with multiple leaders, and explores ideas for their solution. Solving these problems extends the existing application domains of multi-agent networks; for example, collective periodic motion coordination is appropriate for applications involving repetitive movements, collective tracking guarantees tracking of a dynamic leader by multiple followers in the presence of reduced interaction and partial measurements, and containment control enables maneuvering of multiple followers by multiple leaders. The authors' models for distributed coordination arise from physical constraints and the complex environments in which multi-agent systems operate; they include Lagrangian models more realistic for mechanical-systems modeling than point models and fractional-order systems which better represent the consequences of environmental complexity. Other issues addressed in the text include the time delays inherent in networked systems, optimality concerns associated with the deisgn of energy-efficent algorithms, and the use of sampled-data settings in systems with intermittent neightbor-neighbor contact. Researchers, graduate students, and engineers interested in the field of multi-agent systems will find this monograph useful in introducing them to presently emerging research directions and problems in distributed coordinationof multi-agent networks.

Inhalt
Part I: Preliminaries and Literature Review.- Preliminaries.- Overview of Recent Research in Distributed Multi-agent Coordination.- Part II: Emergent Problems in Distributed Multi-agent Coordination.- Collective Periodic Motion Coordination.- Collective Tracking with a Dynamic Leader.- Containment Control with Multiple Leaders.- Part III: Emergent Models in Distributed Multi-agent Coordination.- Networked Lagrangian Systems.- Networked Fractional-order Systems.- Part IV Emergent Issues in Distributed Multi-agent Coordination.- Sampled-data Setting.- Optimality Aspect.- Time Delay.