Cooperative Control of Multi-agent Systems : Distributed-Obs …, North-Eastern Islands

Ships from and sold by EXPERAL Singapore
Publisher: Springer Nature Switzerland AG
ISBN 13: 9783030983765
Condition: Brandnew
Binding: hardcover
Pages: 384
Dimensons: 0 x 155 x 0 | 0 (gram)

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Summary:
The main focus of this book is a pair of cooperative control problems: consensus and cooperative output regulation. Its emphasis is on complex multi-agent systems characterized by strong nonlinearity, large uncertainty, heterogeneity, external disturbances and jointly connected switching communication topologies. The cooperative output regulation problem is a generalization of the classical output regulation problem to multi-agent systems and it offers a general framework for handling a variety of cooperative control problems such as consensus, formation, tracking and disturbance rejection. The book strikes a balance between rigorous mathematical proof and engineering practicality. Every design method is systematically presented together with illustrative examples and all the designs are validated by computer simulation. The methods presented are applied to several practical problems, among them the leader-following consensus problem of multiple Euler–Lagrange systems, attitude synchronization of multiple rigid-body systems, and power regulation of microgrids. The book gives a detailed exposition of two approaches to the design of distributed control laws for complex multi-agent systems—the distributed-observer and distributed-internal-model approaches. Mastering both will enhance a reader’s ability to deal with a variety of complex real-world problems. Cooperative Control of Multi-agent Systems can be used as a textbook for graduate students in engineering, sciences, and mathematics, and can also serve as a reference book for practitioners and theorists in both industry and academia. Some knowledge of the fundamentals of linear algebra, calculus, and linear systems are needed to gain maximum benefit from this book. Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
Author Bio:





He Cai received the B.Eng. degree in automation from the University of Science and Technology of China, Hefei, in 2010, and the Ph.D. degree in mechanical and automation engineering from the Chinese University of Hong Kong, in 2014. From 2014 to 2017, he worked as a research fellow with the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. Since 2017, he has been a full professor with School of Automation Science and Engineering, South China University of Technology, Guangzhou. His research interests include cooperative control of multi-agent systems and its applications to unmanned systems and power systems