Academic Press Cooperative Control of Multi-Agent Systems: An Optimal and Robust Perspective (Emerging Methodologies and Applications in Modelling, Identification and Control)

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. Review Presents recent advances in cooperative control of multi-agent systems About the Author 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. Ming Xin (SM’10) received the B.S. and M.S. degrees from the Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 1993 and 1996, respectively, both in automatic control, and the Ph.D. degree in aerospace engineering from the Missouri University of Science and Technology, Rolla, MO, USA, in 2002. He is an Associate Professor with the Department of Mechanical and Aerospace Engineering, University of Missouri-Columbia, Columbia, MO. He has authored and coauthored more than 120 technical papers in his research areas. His research interests include optimization theory and applications, estimation/filtering and signal processing, and control of networked dynamic systems. Dr. Xin was the recipient of the U.S. National Science Foundation CAREER Award in 2009. He is an Associate Fellow of AIAA and a Senior Member of AAS. Zhengtao Ding (SM’03) received the B.Eng. degree from Tsinghua University, Beijing, China, and the M.Sc. degree in systems and control and the Ph.D. degree in control systems from the University of Manchester Institute of Science and Technology, Manchester, U.K. He was a Lecturer with Ngee Ann Polytechnic, Singapore, for ten years. In 2003, he joined the University of Manchester, Manchester, U.K., where he is currently the Professor of Control Systems with the School of Electrical and Electronic Engineering. He has authored the book entitled Nonlinear and Adaptive Control Systems (IET, 2013) and a number of journal papers. His current research interests include nonlinear and adaptive control theory and their applications. Prof. Ding serves as an Associate Editor for the IEEE TRANSACTIONS ON AUTOMATIC CONTROL, the IEEE CONTROL SYSTEMS LETTERS, Transactions of the Institute of Measurement and Control, Control Theory and Technology, Mathematical Problems in Engineering