Papers
1
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11
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About
Asem Alalwan is a researcher focused on control systems, optical wireless communication, and autonomous robotics, with particular expertise in precision alignment and tracking technologies. His most cited work, "Extended Kalman Filter Based Linear Quadratic Regulator Control for Optical Wireless Communication Alignment" (2020, 11 citations), addresses a critical challenge in underwater robotics: maintaining high-precision laser beam alignment between mobile transmitter and receiver robots in noisy environments. By integrating an Extended Kalman Filter with a Linear Quadratic Regulator, Alalwan developed a robust control strategy that significantly improves positioning accuracy and stability, enabling reliable optical communication links between moving platforms. This contribution has implications for underwater exploration, autonomous vehicle coordination, and secure high-bandwidth data transmission. Alalwan's work demonstrates a sophisticated blend of estimation theory and optimal control, offering practical solutions for real-world robotic systems operating under uncertainty. His research continues to influence the development of resilient alignment mechanisms in challenging underwater and optical communication contexts.
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