Yujuan Wang
Papers
2
Total Citations
17
H-Index
2
About
Dr. Yujuan Wang is a rising leader in nonlinear control theory, whose work addresses fundamental challenges in the stability and precision of complex dynamical systems. Her primary research areas include prescribed-time control, adaptive control for Multi-Input Multi-Output (MIMO) systems, and disturbance rejection. Dr. Wang’s most significant contribution is a unified state feedback control scheme for MIMO nonlinear systems facing both unknown control directions and irregular output constraints—a problem that eluded prior state-of-the-art methods. This work, published in 2023, has already garnered 13 citations, signaling its rapid impact on the field. In her 2024 paper, she introduced a novel "time axis shifting" technique to achieve prescribed-time tracking control under non-vanishing disturbances, developing a new class of disturbance observers that converge within a user-defined timeframe. This breakthrough is critical for applications demanding high-precision performance within strict temporal limits, such as robotics and aerospace systems. Dr. Wang’s innovative approaches to overcoming irregular constraints and achieving finite-gain stability mark her as a key contributor to the next generation of robust, time-critical control systems.
Research Focus
Key Achievements
Top Papers
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