Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10326399 | Neurocomputing | 2016 | 9 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
A. Boulkroune, A. Bouzeriba, T. Bouden,