A
Ahmad Taher Azar
Researcher at Prince Sultan University
Publications - 458
Citations - 12351
Ahmad Taher Azar is an academic researcher from Prince Sultan University. The author has contributed to research in topics: Computer science & Control theory. The author has an hindex of 47, co-authored 389 publications receiving 8847 citations. Previous affiliations of Ahmad Taher Azar include Misr University for Science and Technology & Yahoo!.
Papers
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Proceedings ArticleDOI
Fractional controllable multi-scroll V-shape attractor with parameters effect
TL;DR: This paper is an extension of V-shape multi-scroll butterfly attractor in the fractional-order domain and maximum Lyapunov exponent is calculated for both integer and fractional orders attractors to prove the complexity of fractional chaotic system using time series.
Book ChapterDOI
Enhanced Fractional Order Indirect Fuzzy Adaptive Synchronization of Uncertain Fractional Chaotic Systems Based on the Variable Structure Control: Robust H∞ Design Approach
TL;DR: A novel fractional H∞ robust indirect adaptive fuzzy logic control strategy based on the variable structure control theory design (FRAFC-VSC) to synchronize two fractional-order chaotic systems is presented, using an adaptive fractional order PI-regulator and a saturation function to eliminate the chattering phenomena in the control and surface signals.
Journal ArticleDOI
Covering-based rough set classification system
TL;DR: This study concentrates on applying uncertainty (i.e. rough set)-based pattern classification techniques for UCI healthcare data for the diagnosis of diseases from different patients and proposes CRS classification method, which gives effective results than delicate pattern classifier model.
Journal ArticleDOI
Multistability Analysis and Function Projective Synchronization in Relay Coupled Oscillators
Ahmad Taher Azar,Ahmad Taher Azar,Ngo Mouelas Adèle,Kammogne Soup Tewa Alain,Romanic Kengne,Fotsin Hilaire Bertrand +5 more
TL;DR: The synchronization of systems that act as mediators between two dynamical units that show function projective synchronization (FPS) with each other are presented and it is shown that the coupled systems can achieve function projectives synchronization in a determined time despite the unpredictability of the scaling function.
Book ChapterDOI
On New Fractional Inverse Matrix Projective Synchronization Schemes
TL;DR: In this study, new complex schemes are proposed to achieve inverse matrix projective synchronization (IMPS) between n-dimension and m-dimension fractional order chaotic systems.