Mohamed Seghir Boucherit

About

Mohamed Seghir Boucherit is a leading figure in the field of advanced nonlinear control systems, with a primary focus on the intelligent control of robotic manipulators. His most influential contribution is his seminal 2004 work on adaptive fuzzy control for a class of MIMO nonlinear systems, which has garnered over 280 citations and established a foundational framework for handling complex, coupled dynamics without precise mathematical models. Boucherit’s research consistently bridges theoretical rigor with practical application, as seen in his work on predictive control for two-link robot arms and robust position control for machine tools. He has pioneered the integration of fuzzy logic regulators with linearization-by-state-feedback strategies to manage parametric variations in industrial robots. More recently, his investigations have expanded into hybrid approaches, combining Coefficient Diagram Method (CDM) with backstepping control and nonlinear observers for electrically driven manipulators, as well as optimizing PD fuzzy controllers using particle swarm optimization (PSO). Through this body of work, Boucherit has made enduring contributions to making robotic systems more adaptive, robust, and precise under real-world uncertainties.

Research Focus

Key Achievements

Top Papers

1. 1
   Adaptive fuzzy control of a class of MIMO nonlinear systems

   280 citations · 2004
2. 2
   One step ahead nonlinear predictive control of two links robot manipulators

   5 citations · 2012
3. 3
   Robust position control of machine tools with a strategy of linearization by state return using fuzzy regulators

   2 citations · 2006
4. 4
   A CDM-backstepping control with nonlinear observer for electrically driven robot manipulator

   2 citations · 2016
5. 5
   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