Luay Thamir Rasheed

About

Luay Thamir Rasheed is a researcher specializing in intelligent control systems, robotics, and optimization algorithms. His primary contributions lie in the design of advanced nonlinear fractional order proportional-integral-derivative neural (NFOPIDN) controllers, which integrate fractional calculus, neural networks, and bio-inspired optimization to enhance the performance of wheeled mobile robots. His most-cited work, "A Cognitive Nonlinear Fractional Order PID Neural Controller Design for Wheeled Mobile Robot based on Bacterial Foraging Optimization Algorithm" (2017, 7 citations), introduces a cognitive optimization technique that significantly improves controller adaptability and precision. A related study from 2016, employing Particle Swarm Optimization (6 citations), further demonstrates his innovative approach to merging neural architectures with swarm intelligence for robust robot navigation. Rasheed’s research bridges theoretical advancements in fractional-order control with practical robotics applications, offering solutions for dynamic, uncertain environments. His work is notable for its interdisciplinary nature, combining control theory, artificial intelligence, and optimization, and has laid groundwork for future developments in autonomous systems. With a focus on enhancing stability and response in mobile robots, Rasheed’s contributions continue to influence the fields of mechatronics and intelligent control.

Research Focus

Key Achievements

Top Papers

1. 1
   A Cognitive Nonlinear Fractional Order PID Neural Controller Design for Wheeled Mobile Robot based on Bacterial Foraging Optimization Algorithm

   7 citations · 2017
2. 2
   Design of a Nonlinear Fractional Order PID Neural Controller for Mobile Robot based on Particle Swarm Optimization

   6 citations · 2016

Key Collaborators

Contact & Links