Adaptive Pinning Synchronization Control of the Fractional-Order Chaos Nodes in Complex Networks
Joint Authors
Liu, Ling
Zhu, Darui
Chong-xin, Liu
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-05
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Adaptive pinning synchronization control is studied for a class of fractional-order complex network systems which are constructed depending on small-world network algorithm.
Based on the fractional-order stability theory, the suitable adaptive control scheme is designed to guarantee global asymptotic stability of all the nodes in complex network systems and the node selected algorithm is given.
In numerical implementation, it is shown that the numerical solution of the fractional-order complex network systems can be obtained by applying an improved version of Adams-Bashforth-Moulton algorithm.
Furthermore, simulation results are provided to confirm the validity and synchronization performance of the advocated design methodology.
American Psychological Association (APA)
Zhu, Darui& Liu, Ling& Chong-xin, Liu. 2014. Adaptive Pinning Synchronization Control of the Fractional-Order Chaos Nodes in Complex Networks. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-509622
Modern Language Association (MLA)
Zhu, Darui…[et al.]. Adaptive Pinning Synchronization Control of the Fractional-Order Chaos Nodes in Complex Networks. Mathematical Problems in Engineering No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-509622
American Medical Association (AMA)
Zhu, Darui& Liu, Ling& Chong-xin, Liu. Adaptive Pinning Synchronization Control of the Fractional-Order Chaos Nodes in Complex Networks. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-509622
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-509622