Zewei Zheng
Papers
3
Total Citations
85
H-Index
3
About
Zewei Zheng is a control systems researcher whose work spans robotics, autonomous aerial vehicles, and adaptive control methodologies. His most significant contributions lie in the development of advanced control strategies for robotic airships — lighter-than-air unmanned vehicles that present unique challenges due to their nonlinear dynamics, susceptibility to wind disturbances, and parametric uncertainties. His 2017 paper on adaptive sliding mode trajectory tracking control, which has garnered 49 citations, demonstrated robust solutions to these complex control problems by combining sliding mode techniques with adaptive mechanisms. Building on this foundation, Zheng further advanced the field with a reinforcement learning-based approach to three-dimensional path-following control, published in 2019 and cited 31 times, which leveraged Markov decision process modeling to decompose the challenging 3D control problem into more tractable subsystems. His earlier work in 2002 on parallel implementation of adaptive manipulator control reflects a longstanding commitment to real-time, computationally efficient robotics solutions for industrial applications. Together, these contributions position Zheng as a meaningful contributor to autonomous vehicle control and intelligent robotics, with his airship control research being particularly influential for researchers in unmanned aerial systems and robust adaptive control design.
Research Focus
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Top Papers
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