Djamel Eddine Chaouch

Université Mustapha Stambouli de Mascara

Papers

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About

Dr. Djamel Eddine Chaouch is a control systems researcher whose work bridges classical robust control theory with intelligent computational methods. His primary research areas include sliding mode control, neural network-based adaptive control, and robotic manipulator dynamics. His most cited work, "A sliding mode based control of 2dof robot manipulator using neural network" (2012, 12 citations), addresses a fundamental challenge in nonlinear control: maintaining system stability and precision despite model uncertainties. By integrating neural networks with sliding mode control, Dr. Chaouch developed a hybrid approach that enhances trajectory tracking performance for two-degree-of-freedom robot arms, eliminating the need for exact mathematical models. This contribution is particularly valuable for industrial robotics applications where parameter variations and external disturbances are common. His work demonstrates how combining robust control laws with adaptive neural architectures can yield more reliable and efficient robotic systems. For students and researchers in control engineering, Dr. Chaouch's research offers a practical framework for designing intelligent controllers that maintain robustness while adapting to unknown dynamics—a critical capability for next-generation autonomous systems.