Jiae Yang
Papers
2
Total Citations
42
H-Index
2
About
Jiae Yang is a rising researcher in the field of advanced robotics control, with a primary focus on trajectory tracking and optimal control for robotic manipulators. Her work addresses persistent challenges in sliding mode control, particularly the issue of tracking error convergence to bounded regions rather than the origin—a critical limitation she tackles through innovative time-delay strategies. Her 2024 paper, “Time-Delay Sliding Mode Control for Trajectory Tracking of Robot Manipulators,” has already garnered 36 citations, reflecting its immediate impact on the robotics community. Yang also made significant strides in optimal control theory, as demonstrated by her 2020 study on adaptive dynamic programming (ADP) for two-link robotic manipulators. In this work, she developed a novel approach to output tracking control design without requiring complex system transformations, a notable simplification that advances practical ADP applications. With a citation count exceeding 40 across her most-cited works, Yang is establishing herself as a key contributor to the next generation of robust, intelligent control systems for robotics. Her research holds promise for enhancing precision and efficiency in automated manufacturing, surgical robots, and autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 2