Adaptive Pinning Synchronization Control of the Fractional-Order Chaos Nodes in Complex Networks | Zendy

Darui Zhu | Zendy; Ling Liu | Zendy; Chongxin Liu | Zendy

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Adaptive Pinning Synchronization Control of the Fractional-Order Chaos Nodes in Complex Networks

Author(s) -

Darui Zhu,

Ling Liu,

Chongxin Liu

Publication year - 2014

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2014/936985

Subject(s) - synchronization (alternating current) , stability (learning theory) , control theory (sociology) , scheme (mathematics) , adaptive control , stability theory , complex network , order (exchange) , node (physics) , class (philosophy) , mathematics , chaos (operating system) , computer science , control (management) , mathematical optimization , topology (electrical circuits) , engineering , nonlinear system , mathematical analysis , artificial intelligence , physics , structural engineering , finance , combinatorics , machine learning , quantum mechanics , economics , computer security

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.

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