Sami Elferik

About

Dr. Sami Elferik is a leading researcher in advanced control systems and robotics, with a primary focus on the design and optimization of intelligent controllers for robotic manipulators and mobile robots. His major contributions lie in the development of fractional-order PID (FOPID) controllers enhanced by metaheuristic algorithms, particularly an improved particle swarm optimization (IPSO) technique. This work, detailed in his 2024 highly cited paper (24 citations), demonstrates significant performance gains in robotic manipulator position tracking under dynamic uncertainties. Dr. Elferik also explores robust control frameworks, including Immersion and Invariance (I&I) adaptive control for nonholonomic mobile robots and sliding mode control (SMC) for two-link manipulators, addressing real-world challenges like parameter uncertainties and external perturbations. His 2025 study further advances position-tracking precision by comparing FOPID and SMC strategies. With a growing citation impact, Dr. Elferik’s research bridges theoretical control design and practical engineering applications, offering scalable solutions for next-generation autonomous systems. His work is essential reading for students and researchers in robotics, nonlinear control, and optimization.

Research Focus

Key Achievements

Top Papers

1. 1
   Improved particle swarm optimization for fractional order PID control design in robotic manipulator system: A performance analysis

   24 citations · 2024
2. 2
   Control of nonholonomic mobile robot based on immersion and invariance adaptive control

   2 citations · 2015
3. 3
   A Control Perspective on Position Tracking of a Two-Link Robotic Manipulator: Addressing Perturbations with FOPID and SMC

   1 citations · 2025

Key Collaborators

Contact & Links