Papers
1
Total Citations
7
H-Index
1
About
Yi-Wei Su is a researcher specializing in precision motion control and optimization algorithms, with a focus on iterative learning control (ILC) and particle swarm optimization (PSO). His most cited work, "Iterative learning control bandwidth tuning using the particle swarm optimization technique for high precision motion" (2015), introduces a novel method for automatically tuning ILC bandwidth parameters through PSO, significantly enhancing the accuracy and efficiency of high-precision motion systems. This contribution addresses a critical challenge in automation and robotics, enabling systems to achieve superior tracking performance without manual trial-and-error tuning. With 7 citations, this paper has influenced subsequent studies in adaptive control and mechatronics. Su’s research bridges the gap between theoretical optimization and practical control applications, offering engineers a robust tool for improving motion precision in manufacturing, robotics, and aerospace systems. His work exemplifies the integration of computational intelligence with classical control theory, paving the way for smarter, more autonomous precision motion systems.
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