Chun‐Chih Wang
University of California, Berkeley, FormFactor (United States)
Papers
2
Total Citations
38
H-Index
2
About
Chun‐Chih Wang is a leading researcher in precision motion control and robotics, whose work bridges the gap between theoretical control systems and practical mechatronic applications. His primary research areas include vibration suppression, iterative learning control (ILC), and the dynamics of harmonic drives. Wang’s most influential contribution addresses a critical challenge in robotics: the periodic transmission error inherent to harmonic drives, which causes speed ripple and degrades positioning accuracy. His 2008 paper, cited 26 times, introduced a novel peak filter with acceleration feedback to actively suppress these vibrations, offering a robust solution for high-precision systems. In a complementary 2009 work (12 citations), Wang advanced the field of iterative learning control by developing a frequency-domain linear matrix inequality (LMI) design method. This approach elegantly overcomes the computational burden of traditional lifted-system representations, enabling more efficient controller synthesis for repetitive tasks. Wang’s research is notable for its direct industrial relevance, providing engineers with practical tools to enhance the performance of robots and precision positioning stages. His work continues to influence modern servo control design, making him a respected figure in the mechatronics and control engineering community.
Research Focus
Key Achievements
Top Papers
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