Amer Dababneh

Papers

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About

Amer Dababneh is a rising figure in the field of advanced control systems, with a focused expertise in fractional-order control and robotic dynamics. His most impactful work, "Design Fractional-order PID Controllers for Single-Joint Robot Arm Model" (2022), has already garnered 43 citations, underscoring its significance in the research community. In this pivotal study, Dababneh addresses a critical challenge in robotics: optimizing the performance of Fractional-order Proportional-Derivative-Integral (FoPID) controllers for single-joint arm dynamics. By implementing the Particle Swarm Optimization (PSO) algorithm, he introduces a novel, efficient method for tuning controller parameters, achieving superior precision and stability compared to conventional approaches. This contribution not only advances the theoretical understanding of fractional-order control but also offers practical solutions for real-world robotic applications. Dababneh’s work bridges the gap between complex mathematical modeling and tangible engineering outcomes, making him a promising researcher in the intersection of optimization algorithms and mechatronics. His growing citation count reflects the immediate relevance of his findings to peers working on intelligent control systems, positioning him as a key contributor to the next generation of adaptive robotic technologies.