JOURNAL ARTICLE

Dual Combination Synchronization of the Fractional Order Complex Chaotic Systems

A. SinghVijay K. YadavSubir Das

Year: 2016 Journal:   Journal of Computational and Nonlinear Dynamics Vol: 12 (1)   Publisher: ASM International

Abstract

In this article, the authors have proposed a novel scheme for the dual combination synchronization among four master systems and two slave systems for the fractional order complex chaotic systems. Dual combination synchronization for the integer order has already been investigated in real space; but for the case of fractional order in complex space, it is the first of its kind. Due to complexity and presence of additional variable, it will be more secure and interesting to transmit and receive signals in communication theory. Based on the Lyapunov stability theory, six complex chaotic systems are considered and corresponding controllers are designed to achieve synchronization. The special cases, such as combination synchronization, projective synchronization, complete synchronization, and many more, can be derived from the proposed scheme. The corresponding theoretical analysis and numerical simulations are shown to verify the feasibility and effectiveness of the proposed dual combination synchronization scheme.

Keywords:
Synchronization (alternating current) Synchronization of chaos Control theory (sociology) Lyapunov stability Dual (grammatical number) Chaotic Computer science Stability theory Stability (learning theory) Mathematics Topology (electrical circuits) Control (management) Artificial intelligence Nonlinear system

Metrics

52
Cited By
4.20
FWCI (Field Weighted Citation Impact)
34
Refs
0.96
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Chaos control and synchronization
Physical Sciences →  Physics and Astronomy →  Statistical and Nonlinear Physics
Nonlinear Dynamics and Pattern Formation
Physical Sciences →  Computer Science →  Computer Networks and Communications
Quantum chaos and dynamical systems
Physical Sciences →  Physics and Astronomy →  Statistical and Nonlinear Physics

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