Wu‐Chung Su
Papers
4
Total Citations
56
H-Index
3
About
Wu-Chung Su is a leading researcher in intelligent control systems, specializing in fuzzy-logic systems, neural networks, and sliding mode control for complex robotic platforms. His major contributions lie in developing hybrid control frameworks that combine evolutionary algorithms with type-2 fuzzy systems to enhance both performance and interpretability. His 2021 paper on multiobjective evolutionary type-2 fuzzy systems for hexapod robot control (23 citations) introduces a data-driven learning approach that incrementally builds interpretable rule structures, a significant advance for autonomous robotics. Su also made foundational contributions to robust tracking control, as seen in his 2010 work on hybrid sliding mode fuzzy neural networks for mobile manipulators (15 citations), which effectively handles nonholonomic constraints and uncertainties. His 2014 survey on distributed parameter system control (16 citations) provides a comprehensive overview of stabilization techniques for partial differential equation-based systems. With over 56 total citations across his most-cited works, Su’s research bridges theoretical control methods with practical robotic applications, offering students and engineers robust, interpretable solutions for real-world automation challenges.
Research Focus
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