Ameni Jouila
Papers
2
Total Citations
34
H-Index
2
About
Dr. Ameni Jouila is a rising authority in advanced robotics control systems, with a focused expertise in intelligent control strategies for robot manipulators. Her research bridges the gap between theoretical control algorithms and practical robotic applications, particularly addressing the critical challenges of uncertainty, external disturbances, and unknown loads that plague high-precision robotic systems. Dr. Jouila’s most impactful work, "Optimized Sliding Mode Control Based on Cuckoo Search Algorithm: Application for 2DF Robot Manipulator" (2023), has garnered 21 citations, demonstrating her innovative integration of bio-inspired optimization with robust control theory. This study showcases how metaheuristic algorithms can enhance sliding mode control to achieve superior tracking precision in complex robotic environments. Her earlier foundational work, "Wavelet neural network sliding mode control of two rigid joint robot manipulator" (2022, 13 citations), pioneered the fusion of wavelet neural networks with Non-Singular Fast Terminal Sliding Mode Control, effectively solving persistent problems of low accuracy and poor stability in rigid joint systems. Collectively, her contributions are shaping next-generation control architectures that are both computationally efficient and highly resilient, making her work essential reading for researchers and students in robotics, mechatronics, and intelligent control systems.
Research Focus
Key Achievements
Top Papers
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