Jianan Wang, Chunyan Wang, Ming Xin, Zhengtao Ding, Jiayuan Shan

Cooperative Control of Multi-Agent Systems (eBook, ePUB)

An Optimal and Robust Perspective

• Format: ePub

Produktbeschreibung

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.

• Helps shape the reader's understanding of optimal and robust cooperative control design techniques for multi-agent systems
• Presents new theoretical control challenges and investigates unresolved/open problems
• Explores future research trends in multi-agent systems
• Offers a certain amount of analytical mathematics, practical numerical procedures, and actual implementations of some proposed approaches

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 258
• Erscheinungstermin: 25. März 2020
• Englisch
• ISBN-13: 9780128204450
• Artikelnr.: 61688732

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.