Adaptive Synchronization between Fractional-Order Chaotic Real and Complex Systems with Unknown Parameters
Author
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-11-26
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
The complex modified projective synchronization (CMPS) between fractional-order chaotic real and complex systems is investigated for the first time.
The parameters of both master and slave systems are assumed to be unknown in advance; moreover, the slave system is perturbed by unknown but bounded external disturbances.
The master and slave systems that achieved CMPS can be synchronized up to a complex constant matrix.
On the basis of frequency distributed model of fractional integrator and Lyapunov stability theory, a robust adaptive control law is designed to realize the CMPS for two different types of fractional-order chaotic systems.
Meanwhile, to deal with these unknown parameters, some fractional-order type parametric update laws are provided.
An example is given to demonstrate the effectiveness and feasibility of the proposed synchronization scheme.
American Psychological Association (APA)
Tian, Xiaomin. 2014. Adaptive Synchronization between Fractional-Order Chaotic Real and Complex Systems with Unknown Parameters. Discrete Dynamics in Nature and Society،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1017924
Modern Language Association (MLA)
Tian, Xiaomin. Adaptive Synchronization between Fractional-Order Chaotic Real and Complex Systems with Unknown Parameters. Discrete Dynamics in Nature and Society No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1017924
American Medical Association (AMA)
Tian, Xiaomin. Adaptive Synchronization between Fractional-Order Chaotic Real and Complex Systems with Unknown Parameters. Discrete Dynamics in Nature and Society. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1017924
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1017924