A. Marwan

Universiti Tenaga Nasional, University of Rhode Island

Papers

Total Citations

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About

A. Marwan is a researcher specializing in advanced control systems for robotic manipulators, with a particular focus on nonlinear dynamics and adaptive fuzzy logic control. Their work addresses the significant challenges of controlling highly nonlinear robotic systems, such as two-link rigid-flexible manipulators and SCARA robots, which are critical in industrial automation. Marwan’s major contributions include the development of innovative real-time tuning methods for fuzzy controllers, such as the online self-tuning multi-input–multi-output (MIMO) fuzzy bang-bang controller (FBBC) and the on-line adaptive fuzzy switching controller (FSC). These approaches enhance tracking accuracy and robustness in complex, time-varying environments. Additionally, Marwan has explored cooperative deterministic learning control for multi-robot manipulators, enabling homogeneous systems to learn and adapt to different reference signals. While their most-cited papers have accumulated modest citation counts (up to 5), the work demonstrates foundational contributions to adaptive and intelligent control theory. Marwan’s research is particularly notable for integrating real-time adaptation with fuzzy logic, offering practical solutions for industrial robotics and flexible manufacturing systems.