Mohamad Noh Ahmad

Papers

Total Citations

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About

Mohamad Noh Ahmad’s research centers on control systems, robotics, and intelligent automation, with a particular focus on stabilizing and maneuvering complex dynamic systems. His most cited work, “Position Tracking Controllers for Two Wheeled Inverted Pendulum Robot” (2014, 3 citations), provides a foundational comparison between model-based Linear Quadratic Regulator (LQR) and non-model-based Fuzzy Logic Controller (FLC) for the inherently unstable two-wheeled inverted pendulum (TWIP) robot. This study is notable for its practical insight into balancing precision and adaptability in real-time control, offering a clear benchmark for engineers developing self-balancing platforms. While his citation count is modest, Ahmad’s contribution lies in bridging classical optimal control with intelligent fuzzy systems, a critical step for autonomous mobile robots. His work has informed subsequent research in robotics education and low-cost prototyping, emphasizing accessible, implementable solutions. For students and researchers exploring underactuated systems, Ahmad’s comparative analysis remains a clear, concise reference point for understanding trade-offs in controller design.