Ghazali Mohd Riduwan

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About

Ghazali Mohd Riduwan is a leading researcher in robotics and intelligent control systems, with a particular focus on flexible joint manipulators and advanced fuzzy logic applications. His most-cited work, "Single Input Fuzzy Logic Controller for Flexible Joint Manipulator" (2016, 13 citations), addresses a critical challenge in robotics: the complexity of controlling manipulators with joint elasticity. By pioneering a simplified single input fuzzy logic controller (SIFLC) for precise tip angular position tracking and deflection reduction, Riduwan has made model-based control strategies more accessible and efficient. This contribution is especially valuable for industries requiring high-precision robotic arms, such as manufacturing and surgical robotics. Riduwan's research demonstrates how intelligent control can overcome the limitations of conventional methods, reducing computational burden while maintaining robust performance. His work has been cited by peers exploring nonlinear dynamics and adaptive control, underscoring its foundational impact. Through his innovative approach to simplifying complex robotic systems, Riduwan continues to shape the future of automation and intelligent machine control.