Ghusn Abdul Redha Ibraheem
Papers
2
Total Citations
129
H-Index
2
About
Ghusn Abdul Redha Ibraheem is a leading researcher in intelligent control systems and mobile robotics, with a particular focus on fractional-order control and swarm optimization algorithms. His work centers on developing novel neural network-based fractional PID controllers for mobile robots, addressing the critical challenge of precise trajectory tracking in differential drive systems. His most impactful contribution, a 2020 paper on a neural network-based fractional PID controller hybridizing fruit fly and particle swarm optimization, has garnered 93 citations, establishing a new paradigm for engineering control design. Ibraheem’s innovative approach integrates nonlinear neural network structures with fractional calculus to create controllers that outperform traditional PID designs in complex, dynamic environments. His 2022 follow-up work on trajectory tracking for differential drive mobile robots, with 36 citations, further refines these techniques, demonstrating practical applications in autonomous navigation. By combining enhanced fruit fly optimization with fractional-order proportional-integral-derivative control, Ibraheem has advanced the field of swarm intelligence-based control, offering robust solutions for real-world robotic systems. His research continues to influence both theoretical optimization analysis and practical engineering implementations, making him a key figure in the evolution of intelligent autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2