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.

About the Author:

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.
JiananWang 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, UK.

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Robust Cooperative Control of Multi-Agent Systems : A Prediction and Observation Prospective

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