Admissible Consensus and Consensualization for Singular Multi-agent Systems: 11 (Engineering Applications of Computational Methods)

This book explores admissible consensus analysis and design problems concerning singular multi-agent systems, addressing various impact factors including time delays, external disturbances, switching topologies, protocol states, topology structures, and performance constraint. It also discusses the state-space decomposition method, a key technique that can decompose the motions of singular multi-agent systems into two parts: the relative motion and the whole motion. The relative motion is independent of the whole motion. Further, it describes the admissible consensus analysis and determination of the design criteria for different impact factors using the Lyapunov method, the linear matrix inequality tool, and the generalized Riccati equation method. This book is a valuable reference resource for graduate students of control theory and engineering and researchers in the field of multi-agent systems.

Jianxiang Xi is Professor at Rocket Force University of Engineering, Xi’an, China. He received his B.S. and M.S. degrees from the High-Tech Institute of Xi’an (currently Rocket Force University of Engineering) in 2004 and 2007, respectively. He received his Ph.D. degree in Control Science and Engineering from the same institute in collaboration with Tsinghua University in 2012. His research interests include complex systems control, multi-agent systems and switched systems.

Le Wang is Lecturer at Rocket Force University of Engineering, Xi’an, China. He received the B.S., M.S. and Ph. D. degrees from Rocket Force University of Engineering, Xi'an, China, in 2014, 2016 and 2020, respectively. His research interests include distributed cooperative control, optimal control, fault tolerant control, singular systems, and multi-agent systems.

Xiaogang Yang is Professor at Rocket Force University of Engineering, Xi’an, China. He received the B.S., M.S., and Ph.D. degrees from the High-Tech Institute of Xi’an (currently Rocket Force University of Engineering) in 1999, 2002, and 2006, respectively. His research interests include machine vision, visual navigation, cooperative guidance, and multi-agent systems.

Zhicheng Yao is Professor at Rocket Force University of Engineering, Xi’an, China. He received the B.S. and M.S. degrees from High-Tech Institute of Xi’an (currently Rocket Force University of Engineering) in 1996 and 2003, respectively. His research interests include multi-agent systems, distributed cooperative control, satellite navigation, and countermeasure.