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香港科技大学工学院老师教师导师介绍简介-Fu ZHANG 张富

本站小编 Free考研考试/2022-02-01

Fu ZHANG 張富



Email Email
eefzhang@ust.hk



Links Personal Web



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First Name (and Middle Name If Any)
Fu
ZHANG
張富




Highest Degree Acquired (e.g. PhD in Engineering Science)
PhD in Controls, University of California, Berkeley




Related Web Titles
Adjunct Assistant Professor, Department of Electronic and Computer Engineering




Contact Information Email Email
eefzhang@ust.hk



Links Personal Web



Research Interests Research Interests
Advanced control systems
Robust and Nonlinear Control
Unmanned Aerial Vehicles (UAVs)
Flight Control and Navigation Systems
System Identification and Reinforcement Learning




Biography Biography
Dr. Fu Zhang Received his B.E. degree in Automation from the University of Science and Technology of China, Hefei, Anhui, China, in 2011, and the M.S. and Ph.D. degree in Controls from the University of California, Berkeley, CA, USA, in 2014 and 2015, respectively. He is currently a Research Assistant Professor with the Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology. His research area is Control and Robotic Systems (CRS), with focus on Robust and Nonlinear Control, Advanced Controls Theory, Flight Control and Navigation Systems of Unmanned Aerial Vehicles (UAVs), System Identification and Reinforcement Learning.



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Research Interests Research Interests
Advanced control systems
Robust and Nonlinear Control
Unmanned Aerial Vehicles (UAVs)
Flight Control and Navigation Systems
System Identification and Reinforcement Learning




Biography Biography
Dr. Fu Zhang Received his B.E. degree in Automation from the University of Science and Technology of China, Hefei, Anhui, China, in 2011, and the M.S. and Ph.D. degree in Controls from the University of California, Berkeley, CA, USA, in 2014 and 2015, respectively. He is currently a Research Assistant Professor with the Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology. His research area is Control and Robotic Systems (CRS), with focus on Robust and Nonlinear Control, Advanced Controls Theory, Flight Control and Navigation Systems of Unmanned Aerial Vehicles (UAVs), System Identification and Reinforcement Learning.



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