Adaptive Modified Function Projective Synchronization of Uncertain Complex Dynamical Networks with Multiple Time-Delay Couplings and Disturbances
This paper studies the modified function projective synchronization of uncertain complex dynamic network model with multiple time-delay couplings and external disturbances. Based on Lyapunov stability theory, the positive definite function is designed and the sufficient conditions of synchronization...
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2018/6384757 |
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doaj-d9d8bd05595c4d4696dcfd61f23c53872020-11-24T21:01:15ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472018-01-01201810.1155/2018/63847576384757Adaptive Modified Function Projective Synchronization of Uncertain Complex Dynamical Networks with Multiple Time-Delay Couplings and DisturbancesJie Fang0Na Liu1Junwei Sun2College of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, ChinaCollege of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, ChinaCollege of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, ChinaThis paper studies the modified function projective synchronization of uncertain complex dynamic network model with multiple time-delay couplings and external disturbances. Based on Lyapunov stability theory, the positive definite function is designed and the sufficient conditions of synchronization are given. Both the uncertain parameters and the unknown bounded disturbances are estimated in accordance with the adaptive laws. With the adaptive feedback controller, the complex dynamic network can synchronize with reference node by a scaling function matrix. The reference node can be periodic orbit, equilibrium point, or a chaotic attractor. Finally, two numerical simulations are offered to illustrate the effectiveness of the proposed method.http://dx.doi.org/10.1155/2018/6384757 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jie Fang Na Liu Junwei Sun |
spellingShingle |
Jie Fang Na Liu Junwei Sun Adaptive Modified Function Projective Synchronization of Uncertain Complex Dynamical Networks with Multiple Time-Delay Couplings and Disturbances Mathematical Problems in Engineering |
author_facet |
Jie Fang Na Liu Junwei Sun |
author_sort |
Jie Fang |
title |
Adaptive Modified Function Projective Synchronization of Uncertain Complex Dynamical Networks with Multiple Time-Delay Couplings and Disturbances |
title_short |
Adaptive Modified Function Projective Synchronization of Uncertain Complex Dynamical Networks with Multiple Time-Delay Couplings and Disturbances |
title_full |
Adaptive Modified Function Projective Synchronization of Uncertain Complex Dynamical Networks with Multiple Time-Delay Couplings and Disturbances |
title_fullStr |
Adaptive Modified Function Projective Synchronization of Uncertain Complex Dynamical Networks with Multiple Time-Delay Couplings and Disturbances |
title_full_unstemmed |
Adaptive Modified Function Projective Synchronization of Uncertain Complex Dynamical Networks with Multiple Time-Delay Couplings and Disturbances |
title_sort |
adaptive modified function projective synchronization of uncertain complex dynamical networks with multiple time-delay couplings and disturbances |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2018-01-01 |
description |
This paper studies the modified function projective synchronization of uncertain complex dynamic network model with multiple time-delay couplings and external disturbances. Based on Lyapunov stability theory, the positive definite function is designed and the sufficient conditions of synchronization are given. Both the uncertain parameters and the unknown bounded disturbances are estimated in accordance with the adaptive laws. With the adaptive feedback controller, the complex dynamic network can synchronize with reference node by a scaling function matrix. The reference node can be periodic orbit, equilibrium point, or a chaotic attractor. Finally, two numerical simulations are offered to illustrate the effectiveness of the proposed method. |
url |
http://dx.doi.org/10.1155/2018/6384757 |
work_keys_str_mv |
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1716778448212459520 |