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Cooperative Control of Multi-Agent Systems
An Optimal and Robust Perspective
Presents recent advances in cooperative control of multi-agent systems
Jianan Wang (Author), Chunyan Wang (Author), Ming Xin (Author), Zhengtao Ding (Author), Jiayuan Shan (Author)
9780128201183, Elsevier Science
Paperback, published 26 March 2020
258 pages, Approx. 300 illustrations
22.9 x 15.1 x 1.7 cm, 0.32 kg
"....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
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.
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
Subject Areas: Information visualization [UYZF], Computing & information technology [U], Robotics [TJFM1], Mechanical engineering [TGB], Optimization [PBU]
