Raja Ben Mohamed

Raja Ben Mohamed
  • Doctor of Engineering
  • CHIEF ADVISOR at École Nationale d'Ingénieurs de Gabès

About

6
Publications
658
Reads
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35
Citations
Introduction
Is an engineer, holding a national engineering diploma in electrical and automation engineering from ENIG, a research master's degree in electrical engineering_automation and diagnostics from ENIM. She obtained her doctorate in electrical engineering, in automation and industrial computing with "LACONPRI" research laboratory from ENIG. She works on discrete sliding regime control, specifically using artificial intelligence in optimizing identification techniques for discrete non-linear systems.
Current institution
École Nationale d'Ingénieurs de Gabès
Current position
  • CHIEF ADVISOR
Additional affiliations
June 2018 - present
Agence nationale pour l'emploi et le travail indépendant (ANETI)
Position
  • Conseillère Principale
September 2008 - July 2010
Institut Supérieur d'Informatique et de Multimédia de Gabes
Position
  • Teacher
September 2016 - June 2018
Institut Superieur des Etudes Technologiques de Gabès (ISETG)
Institut Superieur des Etudes Technologiques de Gabès (ISETG)
Position
  • Assistant Technologue
Education
January 2017 - December 2021
École Nationale d'Ingénieurs de Gabès
Field of study
  • automatic electrical engineering
October 2007 - December 2009
Ecole Nationale d'Ingénieurs de Monastir
Field of study
  • automatic electrical engineering
September 2004 - July 2007
École Nationale d'Ingénieurs de Gabès
Field of study
  • automatic electrical engineering

Publications

Publications (6)
Article
The main challenge of sliding mode control is how to reduce chattering phenomenon. In this work, a discrete terminal neuro-sliding mode control with adaptive switching gain for a nonlinear system is presented. This new strategy blends the benefits of terminal sliding mode control and neuronal network. It guarantees a finite-time convergence of the...
Conference Paper
This paper proposes a discrete-time neuro-sliding mode control for an uncertain nonlinear system (NL_NDSMC). The proposed technique guarantees the stability of the system and achieves zero tracking error comparing with the classical discrete sliding mode control. Although, it reduces chattering phenomenon. The selection of the neuronal sliding surf...
Conference Paper
This paper proposes a discrete-time neuro-sliding mode control for an uncertain nonlinear system (NL_NDSMC). The proposed technique guarantees the stability of the system and achieves zero tracking error comparing with the classical discrete sliding mode control. Although, it reduces chattering phenomenon. The selection of the neuronal sliding surf...
Article
Full-text available
Purpose The purpose of this paper is to present a new concept based on a neural network validity approach in the area of multimodel for complex systems. Design/methodology/approach The multimodel approach was recently developed in order to solve the modeling problems and the control of complex systems. The strategy of this approach coincides with...

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