Jianan Wang – författare

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.

This book presents a concise introduction to the latest advances in robust cooperative control design for multi-agent systems with input delay and external disturbances, especially from a prediction and observation perspective. The volume covers a wide range of applications, such as the trajectory tracking of quadrotors, formation flying of multiple unmanned aerial vehicles (UAVs) and fixed-time formation of ground vehicles.

Robust cooperative control means that multi-agent systems are able to achieve specified control tasks while remaining robust in the face of both parametric and nonparametric model uncertainties. In addition, the authors cover a wide range of key issues in cooperative control, such as communication and input delays, parametric model uncertainties and external disturbances. Moving beyond the scope of existing works, a systematic prediction and observation approach to designing robust cooperative control laws is presented.

About the Authors

Chunyan Wang is an Associate Professor in the School of Aerospace Engineering at Beijing Institute of Technology, China.Zongyu Zuo is a full Professor with the School of Automation Science and Electrical Engineering, Beihang University, China.Jianan Wang is an Associate Professor in the School of Aerospace Engineering at Beijing Institute of Technology, China.Zhengtao Ding is a Professor in the Department of Electrical and Electronic Engineering at University of Manchester, U.K.

This book presents a concise introduction to the latest advances in robust cooperative control design for multi-agent systems with input delay and external disturbances, especially from a prediction and observation perspective. The volume covers a wide range of applications, such as the trajectory tracking of quadrotors, formation flying of multiple unmanned aerial vehicles (UAVs) and fixed-time formation of ground vehicles.

Robust cooperative control means that multi-agent systems are able to achieve specified control tasks while remaining robust in the face of both parametric and nonparametric model uncertainties. In addition, the authors cover a wide range of key issues in cooperative control, such as communication and input delays, parametric model uncertainties and external disturbances. Moving beyond the scope of existing works, a systematic prediction and observation approach to designing robust cooperative control laws is presented.

About the Authors

Chunyan Wang is an Associate Professor in the School of Aerospace Engineering at Beijing Institute of Technology, China.Zongyu Zuo is a full Professor with the School of Automation Science and Electrical Engineering, Beihang University, China.Jianan Wang is an Associate Professor in the School of Aerospace Engineering at Beijing Institute of Technology, China.Zhengtao Ding is a Professor in the Department of Electrical and Electronic Engineering at University of Manchester, U.K.

The spatial-temporal cooperative guidance problem for multiple flight vehicles has garnered significant attention in recent years due to its potential benefits in both military and civil fields. This book provides a concise but holistic introduction to this practical problem and presents a summative collection of the latest solutions to the concerned challenges, thereby providing some theoretical support for enhancing the synergism and applicability of cooperative guidance for multiple flight vehicles. This book consists of nine chapters. In Chapter 1, recent works on cooperative guidance are systematically recalled. Chapter 2 introduces the common formulation and unique challenges of the cooperative guidance problem from a practical viewpoint. In Chapter 3, a varying-gain proportional navigation guidance law with accurate time-to-go prediction is developed to realize precise control of the impact time. In Chapter 4, in response to the inherent finite-time property of the cooperative guidance problem, a fixed-time convergent error dynamic is proposed to design a 3D distributed cooperative guidance law with enhanced convergence. In Chapter 5, a command-decoupled design strategy is proposed to address the challenging spatial-temporal cooperative guidance problem through the derivation and combination of the coplanar cooperative guidance and planar pursuit guidance commands. In Chapter 6, an integrated design strategy based on rotational operations on spatial vectors is proposed to simultaneously satisfy the impact angle and time constraints. In Chapter 7, a multiple-stage cooperative guidance strategy is developed to satisfy the spatial-temporal constraints without relying on time-to-go information. In Chapter 8, a unified command augmentation method is proposed to prevent the seeker''s FOV from exceeding the boundary throughout the cooperative guidance. Finally, Chapter 9 concludes this book and offers an instructive opinion on the future directions of the cooperative guidance problem in both academic and engineering investigations. Therefore, this book can not only serve as a reference for researchers who are interested in this field with systematic and inspirational perspectives, but also be a useful handbook for engineers engaged in cooperative guidance and control of multiple flight vehicles.