Djamel Boukhetala

About

Djamel Boukhetala is an Algerian control systems researcher whose work sits at the intersection of advanced robotics, nonlinear control theory, and intelligent automation. With a career spanning over two decades, he has established himself as a leading authority in iterative learning control (ILC), sliding mode control, and model-free control strategies, with particular emphasis on their application to robot manipulators and parallel kinematic systems such as the Delta robot. Boukhetala's most influential contribution—a model-free ILC strategy for second-order MIMO nonlinear systems with nonrepetitive trajectories (2020, 76 citations)—addressed one of the field's longstanding challenges by extending learning control beyond strictly repetitive motion profiles. His foundational work on velocity observer-based ILC (2011, 64 citations) elegantly solved the practical problem of trajectory tracking without direct velocity measurement, a common hardware limitation in industrial settings. Further cementing his reputation, he developed hybrid control architectures combining sliding mode robustness with adaptive and PD-based approaches, earning dozens of additional citations. Collectively accumulating over 300 citations, Boukhetala's research has meaningfully advanced robust, data-driven control for complex robotic systems, offering solutions that bridge theoretical rigor with real-world industrial applicability—making his profile essential reading for robotics and control engineering students alike.

Research Focus

Key Achievements

Top Papers

1. 1
   Model-Free Iterative Learning Control With Nonrepetitive Trajectories for Second-Order MIMO Nonlinear Systems—Application to a Delta Robot

   76 citations · 2020
2. 2
   Velocity observer-based iterative learning control for robot manipulators

   64 citations · 2011
3. 3
   An Enhanced Adaptive Time Delay Control-Based Integral Sliding Mode for Trajectory Tracking of Robot Manipulators

   35 citations · 2022
4. 4
   Nonlinear PD plus sliding mode control with application to a parallel delta robot

   34 citations · 2018
5. 5
   Iterative learning control of multivariable uncertain nonlinear systems with nonrepetitive trajectory

   22 citations · 2018
6. 6
   Adaptive robust iterative learning control with application to a Delta robot

   21 citations · 2020
7. 7
   A new decentralized variable Structure control for robot Manipulators

   15 citations · 2003
8. 8
   Iterative learning control for trajectory tracking of a parallel Delta robot

   14 citations · 2019
9. 9
   PASSIVITY-BASED CONTROLLER– OBSERVER FOR ROBOT MANIPULATORS

   12 citations · 2010
10. 10
    Fuzzy logic iterative learning control for trajectory tracking of parallel kinematic manipulators

    11 citations · 2017

Key Collaborators

Contact & Links