Zanariah Abd Rahman

Papers

Total Citations

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About

Zanariah Abd Rahman is a researcher specializing in robotics and control systems, with a particular focus on under-actuated and flexible manipulators. Her work addresses fundamental challenges in the control of complex mechanical systems, especially those with nonholonomic constraints and unmodelled dynamics. Her most cited paper, "Development of a real-time-position prediction algorithm for under-actuated robot manipulator by using of artificial neural network" (2011, 7 citations), introduces an adaptive learning algorithm that uses an artificial neural network to predict passive joint positions in under-actuated robot arms, enabling more precise control without full actuation. This contribution is significant for advancing the autonomy and efficiency of robotic systems in constrained environments. In another notable study, "Control of Flexible Beam with Unmodelled Dynamics Using Second-Order Pole Placement and LQR Techniques" (2013, 3 citations), she tackles the difficult problem of stabilizing flexible-link manipulators, which are prone to vibration and modeling inaccuracies. By applying second-order pole placement and LQR methods, she provides a robust framework for controlling such systems. Though her citation counts are modest, her work lays important groundwork for practical robotics applications, particularly in manufacturing and automation where precision and adaptability are critical.