z-logo
open-access-imgOpen Access
Modified Projective Outer Synchronization between Two Fractional Order Complex Networks via Adaptive Control
Author(s) -
Hong-juan Liu,
Guoqi Liu,
Hai Yu,
Zhiliang Zhu
Publication year - 2014
Publication title -
discrete dynamics in nature and society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.264
H-Index - 39
eISSN - 1607-887X
pISSN - 1026-0226
DOI - 10.1155/2014/580378
Subject(s) - synchronization (alternating current) , topology (electrical circuits) , complex network , nonlinear system , matrix (chemical analysis) , coupling (piping) , order (exchange) , mathematics , control theory (sociology) , stability (learning theory) , node (physics) , computer science , control (management) , physics , combinatorics , mechanical engineering , materials science , finance , quantum mechanics , artificial intelligence , machine learning , engineering , economics , composite material
The modified projective outer synchronization between two different fractional order complex dynamical networks with different node dynamics and different topological structures is investigated in this paper. Based on the stability theorem of fractional order systems, the adaptive controllers and sufficient criteria for achieving the synchronization are given by applying the nonlinear control. The proposed method is also applicable to modified projective outer synchronization between two fractional order complex networks with identical topological structures. In addition, there are fewer restrictions on the coupling configuration matrix and inner-coupling matrix. The corresponding numerical results coincide with theoretical analysis, which also show that feedback strength and fractional order can effectively affect the synchronization performance

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom