Farouk Zouari

About

Farouk Zouari’s research lies at the intersection of adaptive control theory, nonlinear systems, and advanced robotics, with a particular focus on fractional-order dynamics and constrained environments. His most influential work, an adaptive neural output-feedback control for nonstrict-feedback time-delay fractional-order systems (85 citations), addresses the challenging problem of output constraints and actuator nonlinearities—a critical advance for systems where safety and precision are paramount. Earlier, Zouari developed an adaptive backstepping control method for a single-link flexible robot manipulator driven by a DC motor (22 citations), using Lyapunov-based techniques to guarantee uniform ultimate boundedness in the presence of joint flexibility. More recently, he has pioneered nonlinear optimal control for free-floating space robotic manipulators (FSRMs), enabling autonomous repair and debris removal in orbit, and flatness-based control in successive loops for dual-arm robotic manipulators, offering a novel multi-loop approach to coordinated manipulation. With a career spanning foundational theory and cutting-edge space robotics, Zouari’s work is shaping the future of autonomous systems in constrained and unstructured environments.

Research Focus

Key Achievements

Top Papers

1. 1
   Adaptive neural output-feedback control for nonstrict-feedback time-delay fractional-order systems with output constraints and actuator nonlinearities

   85 citations · 2018
2. 2
   Adaptive backstepping control for a single-link flexible robot manipulator driven DC motor

   22 citations · 2013
3. 3
   Nonlinear optimal control for free-floating space robotic manipulators

   4 citations · 2024
4. 4
   Flatness-based control in successive loops for dual-arm robotic manipulators

   3 citations · 2024

Key Collaborators

Contact & Links