Dr. Farouk Zouari
National Engineering School of Tunis, University of Tunis El-Manar, Tunis, Tunisia
open for collaboration
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Academic Career Length
14Years (2013-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications1 September 2018 in Neural Networks
Journal Article
Farouk Zouari
Asier IbeasABAbdesselem Boulkroune
Abdesselem Boulkroune
Jinde CaoMAMohammad Mehdi Arefi
Mohammad Mehdi Arefi20 February 2025 in Journal of Vibration and Control
Journal Article
ABAbdesselem Boulkroune
Abdesselem BoulkrouneFarouk ZouariABAmina Boubellouta
Amina Boubellouta
The field of chaotic systems control and synchronization has garnered considerable attention in light of its promising applications across various domains like secure communication, vibration suppression, and image processing. The paper investigates the problem of practical fixed-time master-slave synchronization for dissimilar fractional-order chaotic systems. Two novel adaptive fuzzy sliding-mode controllers employing non-singular fixed-time sliding surfaces are proposed to achieve practical fixed-time synchronization. Fuzzy logic systems, known for their ability to handle complex uncertainties, are used in our synchronization schemes to estimate continuous functional uncertainties. The effectiveness of the proposed synchronization schemes is validated through a simulation study.
1 May 2017 in Neurocomputing
Journal Article
14 December 2018 in International Journal of General Systems
Journal Article
ABA. Boubellouta
A. Boubellouta
Farouk ZouariABAbdesselem Boulkroune
Abdesselem BoulkrouneIn this research work, a novel fuzzy adaptive control is proposed to achieve a projective synchronization for a class of fractional-order chaotic systems with input nonlinearities (dead-zone together with sector nonlinearities). These master-slave systems under consideration are supposed to be with distinct models, different fractional-orders, unknown models, and dynamic external disturbances. The proposed control law consists of two main terms, namely: a fuzzy adaptive control term for appropriately approximating the uncertainties and a fractional-order variable-structure control term for robustly dealing with these inherent input nonlinearities. A Lyapunov approach is used to derive the updated laws and to prove the stability of the closed-loop control system. At last, a set of computer simulation results is carried out to illustrate and further validate the theoretical findings.
1 June 2019 in Information Sciences
Journal Article
Farouk ZouariAsier IbeasABAbdesselem Boulkroune
Abdesselem BoulkrouneJinde CaoMAMohammad Mehdi Arefi
Mohammad Mehdi Arefi
1 January 2017 in Mathematical Problems in Engineering
Journal Article
ABAbdesselem Boulkroune
Abdesselem BoulkrouneSHSarah Hamel
Sarah Hamel
Farouk ZouariABAbdelkrim Boukabou
Abdelkrim BoukabouAsier IbeasThis paper solves the problem of projective lag‐synchronization based on output‐feedback control for chaotic drive‐response systems with input dead‐zone and sector nonlinearities. This class of the drive‐response systems is assumed in Brunovsky form but with unavailable states and unknown dynamics. To effectively deal with both dead‐zone and sector nonlinearities, the proposed controller is designed in a variable‐structure framework. To online learn the uncertain dynamics, adaptive fuzzy systems are used. And to estimate the unavailable states, a simple synchronization error is constructed. To prove the stability of the overall closed‐loop system (controller, observer, and drive‐response system) and to design the adaptation laws, a Lyapunov theory and strictly positive real (SPR) approach are exploited. Finally, three academic examples are given to show the effectiveness of this proposed lag‐synchronization scheme.
About Me
Farouk Zouari was born in Tunis, Tunisia, on August 27, 1980. He earned an engineering degree in Electrical Engineering in 2004, followed by a master’s degree in Automatic Control and Signal Processing in 2005, and a PhD in Electrical Engineering in 2014, all from the National Engineering School of Tunis at the University of Tunis El Manar, Tunisia. He is currently a researcher at the University of Tunis El Manar, where he actively contributes to advancements in the field of control systems. Dr. Zouari’s research interests encompass fractional-order systems, neural control theory, nonlinear control, and intelligent adaptive control. He has demonstrated expertise in designing robust control strategies, integrating neural networks and artificial intelligence techniques to enhance system performance. His work addresses critical challenges in dynamic systems, with a focus on innovative solutions for systems characterized by uncertainties, nonlinearities, and delays.
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