CONPRI

Membre

Rhili Fatma Ezzahra

Docteur

Email: fatmarhili@gmail.com

Fatma Ezzahra RHILI : received the Engineering Diploma in Electrical Engineering, in 2016, from the ENIG (National School of Engineers of Gabes, Tunisia). Currently, she is pursing her PhD thesis at CONPRI (Research Laboratory of Numerical Control of Industrial Processes at ENIG) since 2016. 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 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).

2 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).

3 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 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.

2 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..

3 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..

4 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

1	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).
2	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).
3	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)