Distributed Average Tracking in Multi-agent Systems

Fei Chen received the Ph.D. degree in control theory and control engineering from Nankai University, China, in 2009. He is presently a Professor with the State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China and School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, China. He serves as the deputy director of Qinhuangdao Key Laboratory of Simulation and Control of Intelligent Transportation Systems. Prior to joining Northeastern University, he was with the Department of Automation, Xiamen University, Xiamen, China and the Department of Computer and Electrical Engineering, Utah State University, Logan, UT. He also held several visiting positions at University of California, Riverside, and City University of Hong Kong. His research interests include multi-agent systems, nonsmooth control, cooperative control, distributed optimization, and complex networks. Dr. Chen was a recipient of 2014 Outstanding Reviewer for IEEE Transactions on Control of Network Systems. He is currently an Associate Editor for IEEE ACCESS. He is a senior member of the IEEE. Wei Ren received the B.S. degree in electrical engineering from Hohai University, China, in 1997, the M.S. degree in mechatronics from Tongji University, China, in 2000, and the Ph.D. degree in electrical engineering from Brigham Young University, Provo, UT, in 2004. He is currently a Professor with the Department of Electrical and Computer Engineering, University of California, Riverside. Prior to joining UC Riverside, he was a faculty member at Utah State University and a postdoctoral research associate at the University of Maryland, College Park. His research focuses on distributed control of multi-agent systems. He is an author of two books Distributed Coordination of Multi-agent Networks (Springer, 2011) and Distributed Consensus in Multi-vehicle Cooperative Control (Springer, 2008). Dr. Ren was the recipient of the IEEE Control Systems Society Antonio Ruberti Young Researcher Prize in 2017 and a National Science Foundation CAREER Award in 2008. He is currently an Associate Editor for Automatica and IEEE Transactions on Automatic Control. He is an IEEE Fellow.

Chapter 1. Overview of Distributed Average Tracking.- Chapter 2. Preliminaries.- Chapter 3. Distributed Average Tracking via Nonsmooth Feedback.- Chapter 4. Distributed Average Tracking via an Extended PI Scheme.- Chapter 5. Distributed Average Tracking for Double-Integrator Dynamics.- Chapter 6. Distributed Average Tracking for General Linear Dynamics.- Chapter 7. Distributed Average Tracking for Euler-Lagrange Dynamics.- Chapter 8. Distributed Average Tracking with Input Saturation.

"This book contains some works of the authors that have been published in some top journals. It is not only a good reference textbook for researchers, but also can be used as an excellent graduate textbook. The reviewer believes that this book will gain a significant number of readers in the near future." (Guanghui Wen, Mathematical Reviews, July, 2022)

“This book contains some works of the authors that have been published in some top journals. It is not only a good reference textbook for researchers, but also can be used as an excellent graduate textbook. The reviewer believes that this book will gain a significant number of readers in the near future.” (Guanghui Wen, Mathematical Reviews, July, 2022)