Distributed Adaptive Consensus Control of Uncertain Multi-Agent Systems
Automation and Control Engineering Series

Multi-agent systems are special networked systems full of research interest and practical sense, which are abundant in real life, ranging from mobile robot networks, intelligent transportation management, to multiple spacecraft, surveillance and monitoring. Consensus control is one of the most typical and hot research issues for multi-agent systems. Distributed Adaptive Consensus Control of Uncertain Multi-agent Systems provides innovative technologies to design and analyze distributed adaptive consensus for multi-agent systems with model uncertainties.

Based on the basic graph theory and adaptive backstepping control, this monograph:

· Describes the state of the art on distributed adaptive control, finite-time consensus control and event-triggered consensus control

· Studies distributed adaptive consensus under directed communication graph condition: the methods with linearly parametric reference, hierarchical decomposition, and design of auxiliary filers

· Explores adaptive finite-time consensus for uncertain nonlinear systems

· Considers distributed adaptive consensus with event-triggered communication via state feedback and output feedback

· Investigates distributed adaptive formation control of nonholonomic mobile robots with experimental verification

· Provides distributed adaptive attitude synchronization control schemes for multiple spacecraft with event-triggered communication

Distributed Adaptive Consensus Control of Uncertain Multi-agent Systems can help engineering students and professionals to efficiently learn distributed adaptive control design tool for handling uncertain multi-agent systems with directed communication graph, guaranteeing finite-time convergence and saving communication resources.

Chapter 1 Introduction

Chapter 2 Preliminaries

SECTION I Consensus Control under Directed

Graph

Chapter 3 Distributed Adaptive State Feedback Control with Linearly

Parametric Reference

Chapter 4 Auxiliary Filters based Distributed Adaptive Consensus Control

Chapter 5 Hierarchical Decomposition based Distributed Adaptive Consensus

Control

SECTION II Finite-time Consensus Control

Chapter 6 Adaptive Finite-time Consensus for Uncertain Nonlinear Mechanical

Systems

SECTION III Consensus Control with

Event-triggered Communication

Chapter 7 Distributed Event-triggered Adaptive Control: Leader-following

Case

Chapter 8 Distributed Event-triggered Adaptive Control: Leaderless Case

Chapter 9 Distributed Event-triggered Adaptive Output Feedback Control

SECTION IV Applications

Chapter 10 Distributed Adaptive Formation Control of Nonholonomic

Mobile Robots

Chapter 11 Distributed Event-triggered Adaptive Attitude Synchronization of

Multiple Spacecraft

Wei Wang received her B.Eng degree in Electrical Engineering and Automation from Beihang University (China) in 2005, M.Sc degree in Radio Frequency Communication Systems with Distinction from University of Southampton (UK) in 2006 and Ph.D degree from Nanyang Technological University (Singapore) in 2011. From January 2012 to June 2015, she was a Lecturer with the Department of Automation at Tsinghua University, China. Since July 2015, she has been with the School of Automation Science and Electrical Engineering, Beihang University, China, where she is currently a Full Professor. Her research interests include adaptive control of uncertain systems, distributed cooperative control of multi-agent systems, secure control of cyber-physical systems. Prof. Wang received Zhang Si-Ying Outstanding Youth Paper Award in the 25th Chinese Control and Decision Conference (2013) and the First Prize of Science and Technology Progress Award by Chinese Institute of Command and Control (CICC) in 2018. She is the Principle Investigator for a number of research projects including the Distinguished Young Scholars of the National Natural Science Foundation of China (2021-2023). She has been serving as Associate Editors for the IEEE Transactions on Industrial Electronics, ISA Transactions, IEEE Open Journal of Circuits and Systems, Journal of Control and Decision, Journal of Command and Control

Jiang Long received the B.Eng. degree in electrical engineering and automation from the Civil Aviation University of China, China, in July 2015 and the Ph.D. degree in control theory and control engineering from Beihang University, China, in November 2021. Since 2022, he is an Associated Professor with the School of Computer Science, Northwestern Polytechnical University, Xi'an, China. His research interests include adaptive control, nonlinear systems control, distributed adaptive control, event-triggered control. He has been serving as a Reviewer for Automatica, IEEE Transactions o