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Fuzzy generalized projective synchronization of incommensurate fractional-order chaotic systems.

Authors :
Boulkroune, A.
Bouzeriba, A.
Bouden, T.
Source :
Neurocomputing. Jan2016 Part 3, Vol. 173, p606-614. 9p.
Publication Year :
2016

Abstract

This paper proposes a novel fuzzy adaptive controller for achieving an appropriate generalized projective synchronization (GPS) of two incommensurate fractional-order chaotic systems. The master system and the slave system, considered here, are assumed to be with non-identical structure, external dynamical disturbances, uncertain models and distinct fractional-orders. The adaptive fuzzy systems are used for estimating some unknown nonlinear functions. A Lyapunov approach is adopted for deriving the parameter adaptation laws and proving the stability of the closed-loop system. Under some mild assumptions, the proposed controller can guarantee all the signals in the closed-loop system remain bounded and the underlying synchronization errors asymptotically converge towards a small of neighborhood of the origin. Finally, some numerical experiment results are presented to illustrate the effectiveness of the proposed synchronization scheme. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09252312
Volume :
173
Database :
Academic Search Index
Journal :
Neurocomputing
Publication Type :
Academic Journal
Accession number :
111343812
Full Text :
https://doi.org/10.1016/j.neucom.2015.08.003