Chi‐Hsiang Wang

National Taiwan University, National Yang Ming Chiao Tung University

Papers

Total Citations

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About

Chi-Hsiang Wang is a researcher whose work lies at the intersection of robotics, fuzzy logic control, and nonlinear system modeling. His primary research areas include robust control systems, fuzzy model-following control, and the application of intelligent control to complex mechanical systems. Wang’s most significant contribution is his pioneering work on robust fuzzy model-following control for robot manipulators, a method designed to handle torque disturbances and measurement noise in n-link robotic systems. This foundational paper has garnered 55 citations, underscoring its lasting influence on the field of robotic control. In a more specialized vein, Wang also developed a novel fuzzy suction controller (NFSC) using linguistic rules to design a controller for nonlinear boundary layers, demonstrating his ability to bridge fuzzy modeling with practical engineering challenges. While his citation counts reflect a focused, technical impact rather than broad recognition, Wang’s work is notable for its rigorous approach to integrating fuzzy logic with robust control theory, offering valuable insights for researchers working on adaptive and intelligent control systems. His contributions remain a reference point for those seeking to enhance the performance and reliability of robotic manipulators in uncertain environments.