Artur Abdullin

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About

Artur Abdullin is a researcher at the forefront of intelligent robotic systems and digital engineering, with a core focus on digital twin technology and advanced control methodologies for electromechanical plants. His most influential work, "Development of Digital Twin for Robotic Arm" (2021, 25 citations), pioneers the use of digital twins as dynamic, real-time virtual replicas for describing, controlling, and visualizing robotic behavior—a cornerstone technology for the Industry 4.0 revolution. In this paper, Abdullin addresses the critical challenge of creating accurate dynamic models that bridge the physical and digital worlds, enabling enhanced monitoring, simulation, and predictive control of robotic systems. Complementing this, his survey on fuzzy logic methods in control systems (2019) provides a comprehensive review of stability analysis using fuzzy Lyapunov functions and the synthesis of intelligent controllers for electromechanical systems. By integrating fuzzy logic with digital twin frameworks, Abdullin’s work offers robust solutions for complex, nonlinear control environments. His contributions are shaping the next generation of adaptive, data-driven automation, making him a notable voice in the convergence of cyber-physical systems and intelligent control.