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This book focuses on the fault-tolerant cooperative control (FTCC) of multiple unmanned aerial vehicles (multi-UAVs). It provides systematic and comprehensive descriptions of FTCC issues in multi-UAVs concerning faults, external disturbances, strongly unknown nonlinearities, and input saturation. Further, it addresses FTCC design from longitudinal motions to attitude motions, and outer-loop position motions of multi-UAVs. The book’s detailed control schemes can be used to enhance the flight safety of multi-UAVs.
As such, the book offers readers an in-depth understanding of UAV safety in cooperative/formation flight and corresponding design methods. The FTCC methods presented here can also provide guidelines for engineers to improve the safety of aerospace engineering systems. The book offers a valuable asset for scientists and researchers, aerospace engineers, control engineers, lecturers and teachers, and graduates and undergraduates in the system and control community, especially those working in the field of UAV cooperation and multi-agent systems.
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Dr. Ziquan Yu received the PhD degree in control science and engineering from Northwestern Polytechnical University, Xi’an, China, in 2019. From 2017 to 2019, he was a Joint PhD student supported by the China Scholarship Council with the Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, Montreal, Quebec, Canada. He is currently with the College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China. His current research interests include fault-tolerant control of safety-critical systems, and guidance, navigation, and control of unmanned flight vehicles.
Prof. Chun-Yi Su received the PhD degree in control engineering from the South China University of Technology, Guangzhou, China, in 1990. He was with the University of Victoria, Victoria, BC, Canada. In 1998, he joined Concordia University, Montreal, QC, Canada. His current research interests include the application of automatic control theory to mechanical systems, especially the control of systems involving hysteresis nonlinearities.
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