Ming-Kung Chang
Papers
1
Total Citations
28
H-Index
1
About
Ming-Kung Chang is a leading researcher in intelligent control systems and robotic actuation, with a particular focus on pneumatic muscle actuators (PMAs). His work addresses the challenge of achieving precise control over these high-power-density actuators, which are critical for applications in rehabilitation engineering and robotics. Chang’s most-cited paper, “Angle Control of a one-Dimension Pneumatic Muscle Arm using Self-Organizing Fuzzy Control” (2006, 28 citations), introduces an innovative self-organizing fuzzy control strategy that overcomes the inherent nonlinearities of PMAs, enabling accurate angle control for therapy robots and industrial manipulators. This contribution has significant implications for developing safer, more responsive assistive devices and robotic systems. By leveraging the superior power-to-weight and power-to-volume ratios of PMAs, Chang’s work bridges the gap between theoretical control methods and practical robotic applications. His research continues to influence the design of adaptive control systems, making him a key figure in advancing both rehabilitation technology and intelligent robotic actuation.
Research Focus
Key Achievements
Top Papers
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