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ATIG Asma
Maître Assistant

Email: asma.atig@gmail.com

Asma ATIG received the Engineering Diploma in Electrical Engineering, in 2007, and the Master degree in automatic control, in 2008, from the ENIS (National School of Engineers of Sfax, Tunisia). She received the Ph.D. degree in Electrical Engineering from the ENIG (National School of Engineers of Gabes, Tunisia), in 2012, and in Computer engineering and Signal Processing from University of Le Havre, France. Since 2012, she is an assistant professor at ISSIG (Higher Institute of Industriels Systems of Gabes, Tunisia). She is with CONPRI (Research Unit of Numerical Control of Industrial Processes at ENIG) since 2007. Her areas of interest include nonlinear process identification, neural emulation, fuzzy logic and adaptive control.

Liste des publications (Les cinq dernières années)

Les journaux


ID Article
1 Farhat Yassin,ATIG Asma,Zribi Ali,Ridha BEN ABDENNOUR, "A Neural Multicontroller For Strongly Nonlinear Systems". International Journal of Systems Science, 2022, (Impact Factor 2.28).
2 Farhat Yassin,Zribi Ali,ATIG Asma,Ridha BEN ABDENNOUR, "Enhancement neural control scheme performance using PSO adaptive rate: Experimentation on a transesterification reactor". Journal of Vibration and Control, 2022 , (Impact Factor 3.09).
3 Rhili Fatma Ezzahra,ATIG Asma,Ridha BEN ABDENNOUR, "Stability analysis of adaptive control using fuzzy adapting rate neural emulator: Experimental validation on a thermal process ". Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 2021, (Impact Factor 1.1).
4 Farhat Yassin,Rhili Fatma Ezzahra,ATIG Asma,Zribi Ali,Ridha BEN ABDENNOUR, "Stability analysis strategy for the adaptive neural control system: A practical validation via a transesterification reactor ". Iranian Journal of Science and Technology, Transactions of Electrical Engineering, 2021, (Impact factor: 1.37).
5 ATIG Asma,Ridha BEN ABDENNOUR, "A Multi-Objective Criterion and Stability Analysis for Neural Adaptive Control of Nonlinear MIMO Systems: An experimental validation". International Journal of Automation and Control, 2020, (Indexé Scopus) .
6 Rhili Fatma Ezzahra,ATIG Asma,Ridha BEN ABDENNOUR, "Fuzzy adapting rate for a neural emulator of nonlinear systems: real application on a chemical process". Transactions of the Institute of Measurement and Control, Vol 41, Issue 8, 2019.. (Impact Factor: 1.95)

Les Conférences


ID Article
1 Farhat Yassin,ATIG Asma,Zribi Ali,Ridha BEN ABDENNOUR, "A Learning Rate For MIMO Nonlinear System Emulation". The 2nd IEEE International Conference on Signal, Control and Communication (SCC 2021), 2021.
2 Rhili Fatma Ezzahra,ATIG Asma,Ridha BEN ABDENNOUR, "A novel approach for neural controller adapting rate: Application to MIMO nonlinear processes". International multi-Conference on Systems, Signals & Devices, SSD’21, Monastir, Tunisia, 2021.
3 Farhat Yassin,ATIG Asma,Zribi Ali,Ridha BEN ABDENNOUR, "A New Learning Rate Tuning For Nonlinear System Emulation". 20th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA), 2020..
4 Rhili Fatma Ezzahra,ATIG Asma,Ridha BEN ABDENNOUR, "Adaptive neural control using fuzzy adaptive parameter for nonlinear processes". International Conference on Advanced Systems and Emergent Technologies , IC_ASET’2019, Hammamet, Tunisia, 2019..
5 Rhili Fatma Ezzahra,ATIG Asma,Ridha BEN ABDENNOUR, "Fuzzy supervisor for neural emulation of MIMO nonlinear processes". 19th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA), 2019..
6 Rhili Fatma Ezzahra,ATIG Asma,Ridha BEN ABDENNOUR, "A New Strategy for Neural Emulator Learning Rate Tuning". International multi-Conference on Systems, Signals & Devices, SSD’18, Hammamet, Tunisia, 2018..

Les Chapitres


ID Article