Papers
1
Total Citations
3
H-Index
1
About
Shang-Yun Yu is a control systems researcher whose work focuses on advancing nonlinear control theory, particularly through the integration of function approximation techniques. Yu’s most-cited paper, “Input-output feedback linearization control of uncertain systems using function approximation techniques” (2016), addresses a fundamental challenge in feedback linearization: the successive differentiation of output functions in the presence of system uncertainties. By collecting and approximating these uncertainties, Yu’s approach enables more robust and feasible control design for complex, uncertain nonlinear systems. This contribution is especially relevant for applications in robotics, aerospace, and industrial automation, where precise control under unknown dynamics is critical. While Yu’s citation count is modest, the work demonstrates a rigorous theoretical foundation and practical relevance, appealing to researchers seeking to bridge classical control methods with modern approximation tools. Yu’s research underscores a commitment to solving real-world control problems through innovative mathematical frameworks, making it a valuable reference for students and engineers exploring advanced nonlinear control strategies.
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