Papers
8
Total Citations
242
H-Index
7
About
Hui Yin is a control theorist and roboticist whose research centers on robust control for uncertain dynamical systems, with a particular focus on underactuated and fuzzy systems. Her major contributions lie in developing innovative constraint-following control approaches that tackle the challenge of mismatched uncertainty—a notoriously difficult problem in systems with fewer actuators than degrees of freedom. Her 2020 paper on this topic has garnered 61 citations, establishing a foundation for her work. Yin has also pioneered the use of game-theoretic frameworks, such as Nash and Stackelberg approaches, to optimize robust control design in fuzzy dynamical systems, where uncertainty bounds are described by fuzzy sets (papers with 39 and 37 citations, respectively). Her practical impact is evident in applications to mobile robots and soft robotics, including a constraint-following controller for a two-wheeled mobile robot (36 citations) and an adaptive robust control for a soft robotic snake (35 citations). Notably, her 2024 work introduces an offline-to-online learning method to learn uncertainty bounds with low conservativeness, representing a significant step toward intelligent robust control. With over 240 total citations, Yin’s work bridges theoretical rigor and real-world robotic challenges, making her a rising figure in modern control engineering.
Research Focus
Key Achievements
Top Papers
- 1
- 2Nash-Game-Oriented Optimal Design in Controlling Fuzzy Dynamical Systems39 citations · 2018
- 3Stackelberg-Theoretic Approach for Performance Improvement in Fuzzy Systems37 citations · 2018
- 4
- 5Adaptive robust control for a soft robotic snake: A smooth-zone approach35 citations · 2019
- 6Controlling an uncertain mobile robot with prescribed performance21 citations · 2021
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- 8