Tu Diep Cong Thanh
University of Ulsan, Ho Chi Minh City University of Technology
Papers
8
Total Citations
386
H-Index
6
About
Tu Diep Cong Thanh is a robotics and control systems researcher whose work has made significant contributions to the advancement of pneumatic artificial muscle (PAM) actuator technology and intelligent control methodologies. His research focuses primarily on developing sophisticated control strategies for pneumatic artificial muscle manipulators, addressing the longstanding challenges of oscillatory motion, compliance, and nonlinear behavior that have historically limited pneumatic systems in advanced robotics applications. His most influential contribution, "Nonlinear PID Control to Improve the Control Performance of 2 Axes Pneumatic Artificial Muscle Manipulator Using Neural Network" (2006), has garnered an impressive 261 citations, establishing him as a leading voice in intelligent control of compliant robotic systems. By integrating neural networks with nonlinear PID frameworks and developing innovative phase plane switching control methods enhanced by magneto-rheological braking, Thanh systematically improved the precision and stability of PAM-driven manipulators. Beyond pure control engineering, his research has explored the humanitarian application of PAM technology in rehabilitation robotics, recognizing these actuators' inherent safety and adaptability as ideal for assistive and therapeutic devices. With a cumulative body of work spanning intelligent switching control, performance optimization, and human-centered robotics, Thanh's research has meaningfully shaped how engineers approach compliant, bio-inspired robotic actuation systems.
Research Focus
Key Achievements
Top Papers
- 1
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- 4Intelligent Switching Control of Pneumatic Artificial Muscle Manipulator16 citations · 2005
- 5INTELLIGENT CONTROL OF 2 AXES PNEUMATIC ARTIFICIAL MUSCLE MANIPULATOR6 citations · 2007
- 6
- 7Performance improvement of artificial pneumatic muscle manipulator4 citations · 2005
- 8