Mohammad Ghassem Farajzadeh Devin

About

Mohammad Ghassem Farajzadeh Devin is a control systems researcher whose work bridges advanced theoretical methods with real-world robotic applications. His primary research areas include nonlinear model predictive control (MPC), adaptive control, and robust control for constrained systems. His most impactful contribution is the design and implementation of a real-time nonlinear MPC for a lower limb exoskeleton with input saturation (2020, 27 citations), demonstrating how complex control algorithms can be deployed on physical hardware to assist human mobility. In related work, he developed a two-loop robust MPC approach for nonlinear output path following (2021, 6 citations), addressing the challenge of tracking geometric paths under uncertainty and constraints. Farajzadeh Devin has also advanced adaptive control theory through a normalized Lyapunov design for model reference adaptive control (2019, 6 citations), tackling the persistent issues of slow convergence and poor initial tracking. His research is notable for its focus on both theoretical rigor—proving stability and optimality—and practical implementation, making his work valuable for students and engineers developing intelligent robotic systems and autonomous vehicles.

Research Focus

Key Achievements

Top Papers

1. 1
   Design and Implementation of a Real-Time Nonlinear Model Predictive Controller for a Lower Limb Exoskeleton with Input Saturation

   27 citations · 2020
2. 2
   Performance enhancement of model reference adaptive control through normalized Lyapunov design

   6 citations · 2019
3. 3
   Nonlinear output path following control using a two-loop robust model predictive control approach

   6 citations · 2021

Key Collaborators

Contact & Links