Cooperative Control of Multi-Agent Systems: An Optimal and Robust Perspective reports and encourages technology transfer in the field of cooperative control of multi-agent systems. The book deals with UGVs, UAVs, UUVs and spacecraft, and more. It presents an extended exposition of the authors' recent work on all aspects of multi-agent technology. Modelling and cooperative control of multi-agent systems are topics of great interest, across both academia (research and education) and industry (for real applications and end-users). Graduate students and researchers from a wide spectrum of…mehr
Cooperative Control of Multi-Agent Systems: An Optimal and Robust Perspective reports and encourages technology transfer in the field of cooperative control of multi-agent systems. The book deals with UGVs, UAVs, UUVs and spacecraft, and more. It presents an extended exposition of the authors' recent work on all aspects of multi-agent technology. Modelling and cooperative control of multi-agent systems are topics of great interest, across both academia (research and education) and industry (for real applications and end-users). Graduate students and researchers from a wide spectrum of specialties in electrical, mechanical or aerospace engineering fields will use this book as a key resource.
Produktdetails
Produktdetails
Emerging Methodologies and Applications in Modelling, Identification and Control
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Autorenporträt
Jianan Wang is currently an Associated Professor in the School of Aerospace Engineering at Beijing Institute of Technology, Beijing, China. He received his B.S. and M.S. in Control Science and Engineering from the Beijing Jiaotong University and Beijing Institute of Technology, Beijing, China, in 2004 and 2007, respectively. He received his Ph.D. in Aerospace Engineering at Mississippi State University, Starkville, MS, USA in 2011. His research interests include cooperative control of multiple dynamic systems, UAV formation control, obstacle/collision avoidance, trustworthy networked system, and estimation of sensor networks. He is a senior member of both IEEE and AIAA.
Chunyan Wang received the B.Eng. degree in automatic control from Dezhou University, Shandong, China, in 2006, the M.S. degree in control theory and control engineering from Soochow University, Jiangsu, China, in 2009, the M.Sc. degree in electrical and electronic engineering from the University of Greenwich, London, U.K., in 2012, and the Ph.D. degree in control systems from the University of Manchester, Manchester, U.K., in 2016. He is currently a Research Associate with the School of Electrical and Electronic Engineering, University of Manchester. His current research interests include cooperative control, robotics, and time-delay systems.
Inhaltsangabe
Part One - About Cooperative Control 1. Introduction 2. Preliminaries
Part Two - Optimal Cooperative Control 3. Optimal consensus control of multiple integrator systems 4. Optimal cooperative tracking and flocking of multi-agent systems 5. Optimal formation control of multiple UAVs 6. Optimal coverage control of multi-robot systems
Part Three - Robust Cooperative Control 7. Robust consensus control of multi-agent systems with input delay 8. Robust consensus control of multi-agent systems with disturbance rejection 9. Robust consensus control nonlinear p-order integrator systems 10. Robust cooperative control of networked negative-imaginary systems
Part One - About Cooperative Control 1. Introduction 2. Preliminaries
Part Two - Optimal Cooperative Control 3. Optimal consensus control of multiple integrator systems 4. Optimal cooperative tracking and flocking of multi-agent systems 5. Optimal formation control of multiple UAVs 6. Optimal coverage control of multi-robot systems
Part Three - Robust Cooperative Control 7. Robust consensus control of multi-agent systems with input delay 8. Robust consensus control of multi-agent systems with disturbance rejection 9. Robust consensus control nonlinear p-order integrator systems 10. Robust cooperative control of networked negative-imaginary systems
Rezensionen
"....In summary, the book reports some of the latest advances in the cooperative control design for multi-agent systems, from an optimality and robustness perspective. It covers a wide range of applications, such as rendezvous, cooperative tracking, formation flying and flocking, etc. In each chapter, rich simulations and examples are provided to help researchers from both academia and industry use optimal and robust methods in multiagent control. The book will serve as a useful reference in multi-agent control theory." --MathSciNet
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