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About

Zeyu Li is a control systems researcher whose work centers on advanced sliding mode control, robotic manipulation, and autonomous mobile systems. His research addresses some of the most persistent challenges in robotics — including trajectory tracking under disturbances, parameter uncertainty, and mechanical nonlinearities such as control backlash and wheel slipping — by developing mathematically rigorous yet practically deployable control frameworks. Li's most celebrated contribution, "Fast-Exponential Sliding Mode Control of Robotic Manipulator With Super-Twisting Method" (2021, 71 citations), introduced a novel fast terminal sliding mode surface that achieves global robustness and rapid error convergence without requiring angular velocity measurements, a significant practical advantage. His complementary work on adaptive finite-time super-twisting control (2021, 55 citations) further extended these ideas to handle industrial backlash nonlinearities using an innovative arctangent sliding surface. He has since broadened his scope to wheeled mobile robots and event-triggered control architectures, demonstrating a talent for translating theoretical advances into resource-efficient implementations. More recently, his integration of fuzzy logic with super-twisting frameworks reflects a growing interest in intelligent adaptive systems. With over 200 cumulative citations across just a few years of publication, Li has rapidly established himself as a rising voice in robust nonlinear control for robotics.