N. A. A. Razali
Papers
2
Total Citations
7
H-Index
2
About
N. A. A. Razali is a researcher specializing in advanced control systems for nonlinear, complex robotic platforms, with a focus on assistive mobility technologies. Their major contributions lie in the application of Interval Type-2 Fuzzy Logic Control (IT2FLC) and optimization algorithms like Particle Swarm Optimization (PSO) to stabilize and control highly unstable systems. Razali’s most cited work, "Motion Control of Triple Links Inverted Pendulum on Two-Wheeled System Using Interval Type-2 Fuzzy Logic Control Base on Particle Swarm Optimization" (2019, 5 citations), tackles the extreme nonlinearity of a triple-link inverted pendulum on a two-wheeled platform, enabling additional degrees of freedom for advanced robotic motion. In a related study, "Stability Control of Wheelchair System Using Interval Type-2 Fuzzy Logic Control (IT2FLC)" (2018, 2 citations), Razali addresses the challenge of transforming a wheelchair from four-wheeled to two-wheeled operation, aiming to enhance user mobility, comfort, and independence. Though citation counts are modest, this work targets a critical gap in mobile robot control for assistive devices. Razali’s research demonstrates a clear commitment to pushing the boundaries of fuzzy logic control in real-world, high-stakes applications, offering promising pathways for safer, more responsive robotic systems.
Research Focus
Key Achievements
Top Papers
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- 2