Ming‐Kun Chang
Papers
5
Total Citations
129
H-Index
3
About
Ming-Kun Chang is a leading researcher in rehabilitation robotics and intelligent control systems, with a primary focus on developing advanced actuation and control technologies for assistive medical devices. His work centers on pneumatic muscle actuators (PMAs) and pneumatic artificial muscles (PAMs), which offer exceptional power-to-weight and power-to-volume ratios, making them ideal for safe, compliant human-robot interaction. Chang’s major contributions include pioneering adaptive self-organizing fuzzy sliding mode controllers for multi-degree-of-freedom rehabilitation robots, addressing the highly nonlinear and time-varying dynamics of pneumatic actuators. His most influential paper, "An adaptive self-organizing fuzzy sliding mode controller for a 2-DOF rehabilitation robot actuated by pneumatic muscle actuators" (2009), has garnered 110 citations, reflecting its significant impact on the field. Chang has also developed adaptive self-tuning fuzzy controllers for soft rehabilitation machines and tracking control systems for 2-DOF and 3-DOF robotic arms. His work bridges the gap between theoretical control engineering and practical rehabilitation applications, offering low-cost, high-compliance solutions for individuals with neuromuscular or musculoskeletal impairments.
Research Focus
Key Achievements
Top Papers
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