A. Jouila

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About

A. Jouila is a researcher specializing in advanced nonlinear control systems, with a primary focus on robotic manipulators and sliding mode control theory. Their most significant contribution lies in the development of robust nonsingular fast terminal sliding mode controllers (NFTSMC), which address critical challenges in trajectory tracking for rigid robotic arms. In their highly cited 2020 work (68 citations), Jouila introduced an adaptive robust NFTSMC integrated with wavelet neural networks for 2-DOF robotic arms, combining the fast convergence of terminal sliding modes with the disturbance rejection capabilities of H∞ control. This innovative approach enhances tracking precision while eliminating the singularity problem common in conventional terminal sliding mode controllers. Jouila’s earlier 2019 paper (8 citations) laid the foundation by establishing the theoretical framework for NFTSMC in nonlinear systems. Their work has significant implications for industrial robotics, exoskeletons, and autonomous systems requiring high-accuracy motion control under uncertainties. By merging neural network adaptation with robust sliding mode techniques, Jouila has advanced the practical applicability of nonlinear control methods, making them more suitable for real-world robotic applications where model uncertainties and external disturbances are prevalent.