Papers
4
Total Citations
127
H-Index
4
About
Dr. Siyang Yang is a leading researcher in the field of rehabilitation robotics, with a primary focus on the advanced control of lower limb exoskeleton systems. His work sits at the intersection of robust control theory, fuzzy logic, and game theory, aiming to create safer and more effective robotic aids for stroke patients and individuals with mobility impairments. Dr. Yang’s major contributions include pioneering the use of cooperative and Stackelberg game-theoretic frameworks to optimize control parameters, moving beyond traditional trial-and-error tuning. His most influential work, "An optimal fuzzy-theoretic setting of adaptive robust control design for a lower limb exoskeleton robot system," has garnered 62 citations, establishing a foundational approach for integrating fuzzy logic with deterministic adaptive robust control. This is complemented by his highly cited 2020 paper (47 citations) on a novel optimal gain design for a 2-DOF exoskeleton. More recently, he has developed innovative leakage-type adaptive mechanisms to handle fast time-varying uncertainties, as detailed in his 2022 publications. Through these contributions, Dr. Yang is significantly advancing the reliability and intelligence of robotic rehabilitation systems.
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