Mohamad Amir Shamsudin
Papers
6
Total Citations
31
H-Index
3
About
Mohamad Amir Shamsudin is a control systems and robotics researcher whose work spans intelligent control, autonomous mobile robots, and medical imaging technologies. He is best known for his sustained contributions to the modeling and control of Two-Wheeled Inverted Pendulum (TWIP) mobile robots — inherently unstable, nonlinear systems that demand sophisticated control strategies. His most cited work (2019, 13 citations) introduced a fuzzy tracking controller leveraging Takagi-Sugeno fuzzy models, fuzzy Lyapunov functions, and non-PDC control laws to achieve robust balancing and velocity regulation. This builds on a research trajectory dating back to 2011, when he explored particle swarm optimization for adaptive TWIP control, and 2013, when he applied Kane's method alongside optimal PID schemes for dynamic modeling. Beyond mobile robotics, Shamsudin has contributed to trajectory tracking for autonomous robots using sliding mode control and has ventured into biomedical engineering, investigating manipulator-based and game-controller-driven position tracking systems for 3D freehand ultrasound imaging. With a cumulative citation count approaching 30 across diverse application domains, his work reflects a versatile engineering research profile that bridges theoretical control design with practical robotic and medical technology applications.
Research Focus
Key Achievements
Top Papers
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