Rafia Mubashar Gondal
Papers
1
Total Citations
4
H-Index
1
About
Rafia Mubashar Gondal is a researcher specializing in control systems, robotics, and optimization techniques, with a particular focus on fractional order control design. Her most-cited work, "Fractional Order Controller Design for Self-Balancing Two-Wheeled Robot and Performance Comparison Using Different Optimization Techniques" (2022, 4 citations), addresses the longstanding challenge of stabilizing two-wheeled self-balancing robots—systems analogous to inverted pendulums on carts. In this study, Gondal models, designs, and simulates such a robot, employing fractional order controllers and comparing their performance across multiple optimization methods. This work contributes to advancing precision and robustness in robotic balance control, a critical area for applications in autonomous vehicles and mobile robotics. While early in her career, her research demonstrates a strong interdisciplinary approach, merging theoretical control theory with practical robotic implementation. Her findings offer valuable insights for engineers and researchers seeking to enhance system stability through advanced fractional calculus techniques. Gondal’s work reflects a growing interest in leveraging optimization to refine controller performance, positioning her as an emerging voice in the field of intelligent control systems.
Research Focus
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Top Papers
- 1