The book organizes the authors research outcomes in formation control and cooperative guidance. The theoretical framework of formation control and cooperative guidance is first formulated based on the collaboration of multiagent systems. Then, specific methods are presented in consideration of multiple practical issues, including cyber attacks, physical constraints, and obstacle avoidance. The primary features of the book include: 1) the methods are accompanied by comprehensive theoretical analysis; 2) the methods are adaptable to diverse realworld scenarios.
The book will benefit researchers, engineers, and postgraduate students in the fields of multiagent system collaboration, cooperative guidance, autonomous formation, and related areas.
Introduction.- Robust Consensus Control of MASs.- Distributed Formation
Control with Event-Trigering Mechanism.- Distributed Formation Control of
Flight Vehicles Under Speed and Acceleration Control.- Event-Triggered
Formation Control for High-Speed Flight Vehicle Swarms With Angle of Attack
Constraints.- Adaptive Fault-Tolerant Cooperative Guidance Law for
Simultaneous Arrival.- Leader-Following Cooperative Guidance Law with
Specified Impact Time.- Distributed Observer-Based Cooperative Guidance with
Appointed Impact Time and Collision Avoidance.- Three Dimensional Guidance
for Leader-Following Multi-Flight Vehicles with Predesignated Impact Time.-
Distributed Observer-Based Resilient Consensus Tracking Control Under DoS
Attacks: Theory and Experiment.- Secure Self-organizing Consensus Control
under DoS Attacks and Bounded Input.- Consensus-Based Fault Tolerance
Strategy Against False Data Injection Attacks and Application to Formation
Control.- Robust Leader-Follower Cooperative Guidance under False-Data
Injection Attacks.- Performance Prescribed Cooperative Guidance Against
Maneuvering Target Under Malicious Attacks.- FDIA-Fault Tolerant Strategy
with Application to Enclosing Guidance Against Maneuvering Target.- Formation
Centroid Tracking Based on Distributed Optimization.- Formation Maneuver
Based on Distributed Optimization.- Obstacle-Avoiding Formation Maneuver
Based on Distributed Optimization.
Guofei Li received the Ph.D. degree in navigation, guidance, and control from the School of Automation Science and Electrical Engineering, Beihang University, Beijing, China, in 2020. From 2020 to 2021, he was a Postdoctoral Fellow of Zhuoyue Program with the School of Cyber Science and Technology, Beihang University. He is currently an Associate Professor with the School of Astronautics, Northwestern Polytechnical University, Xian, China. He is also an IEEE member. His research interests include cooperative guidance, formation control, and nonlinear control.
Xianzhi Wang received B.Eng degree in aircraft control and information engineering from the School of Astronautics, Northwestern Polytechnical University, Xian, China, in 2023. He is currently pursuing M.S. degree with the School of Astronautics, Northwestern Polytechnical University, Xian, China. His research interests include formation control of multi-agent system and cooperative guidance of multiple flight vehicles.
Qilin Zhong received the B.Eng. degree in aeronautical and astronautical engineering from the School of Aeronautics and Astronautics, Sun Yatsen University, Guangzhou, China, in 2023. She is currently pursuing the M.S. degree with the School of Astronautics, Northwestern Polytechnical University, Xian, China. Her research interests include consensus control of multi-agent system and cooperative guidance of multiple flight vehicles.
Jiale Li received the B.Eng. degree in aircraft control and information engineering from the School of Astronautics, Northwestern Polytechnical University, Xian, China, in 2024. She is currently working toward the Ph.D. degree with the School of Aeronautics, Northwestern Polytechnical University, Xian, China. Her research interests include cooperative control of multi-agent systems and formation control of multiple high-speed flight vehicles.
