Mohammed Abdallah Khodja

About

Mohammed Abdallah Khodja is a researcher specializing in intelligent control systems, fuzzy logic, and robotics. His work focuses on advancing the application of Type-1 and Type-2 fuzzy sets for controlling nonlinear dynamic systems, particularly robot manipulators. In his most-cited paper (2019, 6 citations), he proposed a modification to the Karnik-Mendel algorithm to enhance the performance of interval Type-2 fuzzy controllers in a simulated robot manipulator environment. Earlier, he explored the optimization of proportional-derivative (PD) fuzzy controllers using particle swarm optimization (PSO) for a 3DOF robot manipulator (2016, 2 citations), conducting comparative studies to improve both gain and structural parameters. While his citation counts are modest, Khodja’s contributions lie in bridging theoretical fuzzy control advancements with practical robotic applications, offering valuable insights for researchers in computational intelligence and mechatronics. His work underscores the potential of hybrid optimization techniques in refining fuzzy control systems for complex, real-world dynamic environments.

Research Focus

Key Achievements

Top Papers

1. 1
   Type-1 and Type-2 fuzzy Sets to Control a Nonlinear Dynamic System

   6 citations · 2019
2. 2
   Optimization of a proportional derivative (PD) fuzzy controller using the particle swarm optimization (PSO) technique for a 3DOF robot manipulator

   2 citations · 2016

Key Collaborators

Contact & Links