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About
Ziyu Duan is a control systems researcher whose work focuses on advanced nonlinear control strategies for robotic and mechatronic systems. Duan’s primary research areas include sliding-mode control, disturbance estimation, and robust trajectory tracking for multi-degree-of-freedom robotic platforms. Their most significant contribution is the development of an unknown disturbance estimator (UDE) integrated with an adaptive nonsingular fast terminal sliding-mode control (ANFTSMC) framework, which addresses the critical challenge of trajectory tracking under uncertainties and external disturbances in n-DOF nonlinear robotic systems. This work, published in 2024, demonstrates a novel second-order filter design that enhances estimation accuracy while eliminating the need for prior knowledge of disturbance bounds—a major practical advantage for real-world applications. Though early in its citation impact, the paper represents a meaningful step toward more reliable and adaptive robotic control. Duan’s research is particularly relevant for students and engineers working on autonomous systems, industrial robotics, and human-robot interaction, where precise motion control under unpredictable conditions is essential. Their approach offers a promising pathway for developing safer, more resilient robotic systems.
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