Cooperative Control of Multi-agent Systems (PDF)
A Hybrid System Approach
(Sprache: Englisch)
This book focuses on stability analysis and control design approaches for multi-agent systems under network-induced constraints. A hybrid system approach is introduced to address the cooperative control problem of networked multi-agent systems, and several...
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This book focuses on stability analysis and control design approaches for multi-agent systems under network-induced constraints. A hybrid system approach is introduced to address the cooperative control problem of networked multi-agent systems, and several important topics such as asynchronous sampled data cooperative control, hybrid event-triggered cooperative control, and reset-based cooperative control are studied under the hybrid system framework. The special feature of this book is that a hybrid systems approach is proposed for the cooperative control of multi-agent systems, which is beneficial for relaxing the conservativeness of stability analysis and network parameter computation. Interested readers can learn a novel approach to cooperative control of multi-agent systems, and this book can benefit researchers, engineers, and graduate students in the fields of multi-robot cooperation, unmanned aerial vehicle formation, control engineering, etc.
Autoren-Porträt von Guanglei Zhao, Hailong Cui, Changchun Hua, Shuang Liu
Guanglei Zhao received the Ph.D. degree in Control Theory and Control Engineering from Shanghai Jiaotong University, China, in 2015. He was a Research Fellow with the University of Melbourne, Australia, from 2012 to 2013. He is currently a Full Professor with the School of Electrical Engineering, Yanshan University, Qinhuangdao, China. He has chaired 10 projects supported by National Natural Science Foundation of China, Distinguished Young Scholars Science Foundation of Hebei Province, and so on. He has authored or coauthored more than 50 journal papers. His research interests include cooperative control of multiagent systems, control systems design over network, and hybrid dynamical systems.
Bibliographische Angaben
- Autoren: Guanglei Zhao , Hailong Cui , Changchun Hua , Shuang Liu
- 2024, 2024, 224 Seiten, Englisch
- Verlag: Springer Nature Singapore
- ISBN-10: 9819709687
- ISBN-13: 9789819709687
- Erscheinungsdatum: 23.03.2024
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- Grösse: 17 MB
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Englisch
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