Yu-Shan Chiu
Papers
1
Total Citations
2
H-Index
1
About
Yu-Shan Chiu is a researcher whose work centers on the advanced control of nonlinear and underactuated robotic systems, with a particular emphasis on polynomial fuzzy control and sum-of-squares (SOS) optimization. Her most notable contribution is a pioneering 2019 paper that proposed a novel controller design for underactuated robots using polynomial fuzzy models. In this work, she systematically derived nonlinear state equations from the robot's dynamics, then constructed a polynomial fuzzy model to enable more precise and stable control. This approach offers significant advantages over traditional linearization techniques, allowing for greater robustness in complex, real-world robotic applications. While her citation count is currently modest, her work represents a foundational step in applying SOS-based methods to underactuated systems—a challenging and underexplored area. Chiu’s research is particularly valuable for students and engineers interested in the intersection of fuzzy logic, nonlinear control theory, and robotics, as it provides a clear, methodical framework for tackling control problems where conventional methods fall short.
Research Focus
Key Achievements
Top Papers
- 1Polynomial Fuzzy Control of an Underactuated Robot Using Sum of Squares2 citations · 2019