Huacheng Yu

Qingdao University of Science and Technology

Papers

Total Citations

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About

Huacheng Yu is a researcher specializing in nonlinear control theory and autonomous robotics, with a particular focus on trajectory tracking for nonholonomic mobile robots. His work addresses critical challenges in motion control under unknown disturbances and finite-time convergence. In his most-cited paper (2021, 6 citations), Yu developed a sliding mode control framework integrated with a disturbance observer, enabling robust trajectory tracking for mobile robots in uncertain environments. Building on this, his 2022 paper (4 citations) introduced a dynamic terminal sliding mode controller that achieves finite-time tracking—a significant advancement for applications requiring rapid and precise response, such as autonomous navigation and warehouse logistics. Though early in his career, Yu’s contributions are notable for bridging theoretical rigor with practical implementation, offering solutions that are both mathematically sound and deployable. His work has been cited in subsequent studies on advanced sliding mode techniques and robot control, marking him as an emerging voice in the field. For students and researchers, Yu’s research provides a clear entry point into robust and finite-time control design for mobile systems.