Moez Boussada

Moez Boussada
National Engineering School of Gabes · Electrical Engeneering- Automation

Doctor in industrial automation

About

6
Publications
318
Reads
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3
Citations
Citations since 2017
3 Research Items
3 Citations
20172018201920202021202220230.00.20.40.60.81.0
20172018201920202021202220230.00.20.40.60.81.0
20172018201920202021202220230.00.20.40.60.81.0
20172018201920202021202220230.00.20.40.60.81.0
Introduction
Moez Boussada currently works at the Departement of electrical engineering and automation, National Engineering School of Gabes. Member of the laboratory "COntrol Numerique des PRocédés Industriels". Moez works in the fields touching Process control engineering, embedded systems. His current project is on 'nonlinear state estimation and chemical process control'
Additional affiliations
August 2011 - January 2015
National Engineering School of Gabes
Position
  • Professor (Assistant)
Education
September 1996 - July 2002
Claude Bernard University Lyon 1
Field of study
  • automation

Publications

Publications (6)
Chapter
This paper present the esterification operation of an olive oil waste taking place in a Semi Continuous Stirred Tank Reactor (SCSTR). The plant model, presents a high level of non linearities and interconnections between states. The necessary steps required to move from differential algebraic model to a differential model is given. In this paper a...
Conference Paper
Full-text available
In this study, we have developed a method of diagnosis based on high gain observers, for detecting faults of the actuators in a semi continuous chemical reactor. This algorithm has the advantage of detecting multiple faults simultaneously. The observer is constructed from a sub-model, one needs two observers which related to the number of actuator....
Article
Full-text available
In this paper, a nonlinear high gain observer is developed to reconstruct the full state of an olive oil waste esterification process. This operation is taking place in a semi-continuous stirred tank reactor. The plant model, as most of the chemical processes, presents a high level of non linearities and interconnections between states. Most of the...
Conference Paper
Full-text available
In this paper, two versions of nonlinear high gain observer are developed to reconstruct the full state of an olive oil waste esterification process. This operation is taking place in a Semi Continuous stirred Tank Reactor (SCSTR). The plant model, is one of the most important plants in chemical processes, presents a high level of non linearities a...

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