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Slaheddine Najar

Researcher at University of Gabès

Publications -  35
Citations -  387

Slaheddine Najar is an academic researcher from University of Gabès. The author has contributed to research in topics: Fractional calculus & System identification. The author has an hindex of 11, co-authored 34 publications receiving 355 citations. Previous affiliations of Slaheddine Najar include École Normale Supérieure.

Papers
More filters
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Bode shaping-based design methods of a fractional order PID controller for uncertain systems

TL;DR: In this paper, three frequency-domain design methods are proposed to deal with robust fractional order PID controller design via numerical optimization, which achieve robustness to the variation of some parameters by maintaining the open-loop phase quasi-constant in a pre-specified frequency band.
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New consistent methods for order and coefficient estimation of continuous-time errors-in-variables fractional models

TL;DR: New consistent methods for order and coefficient estimation of continuous-time systems by errors-in-variables fractional models are presented and two estimators based on Higher-Order Statistics (third-order cumulants) are developed.
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Fault detection based on fractional order models: Application to diagnosis of thermal systems

TL;DR: Two diagnosis methods initially developed for integer order models are here extended to handle fractional order models and the first one is the generalized dynamic parity space method and the second is the Luenberger diagnosis observer.
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Discrete fractional Kalman filter

TL;DR: This paper presents a generalization of the classical discrete time Kalman filter algorithm to the case of the fractional systems and shows a simple numerical example of linear state estimation.
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A constant enclosure method for validating existence and uniqueness of the solution of an initial value problem for a fractional differential equation

TL;DR: A new method for validating existence and uniqueness of the solution of an initial value problems for fractional differential equations by an algorithm selecting a stepsize and computing a priori constant enclosure of the solutions is proposed.