Driving-based generalized synchronization in two-layer networks via pinning control
被引:40
作者:
Ning, Di
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Wuhan Univ, Sch Math & Stat, Wuhan 430072, Hubei, Peoples R China
South Cent Univ Nationalities, Sch Math & Stat, Wuhan 430074, Peoples R ChinaWuhan Univ, Sch Math & Stat, Wuhan 430072, Hubei, Peoples R China
Ning, Di
[1
,2
]
Wu, Xiaoqun
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机构:
Wuhan Univ, Sch Math & Stat, Wuhan 430072, Hubei, Peoples R ChinaWuhan Univ, Sch Math & Stat, Wuhan 430072, Hubei, Peoples R China
Wu, Xiaoqun
[1
]
Lu, Jun-An
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机构:
Wuhan Univ, Sch Math & Stat, Wuhan 430072, Hubei, Peoples R ChinaWuhan Univ, Sch Math & Stat, Wuhan 430072, Hubei, Peoples R China
Lu, Jun-An
[1
]
Lu, Jinhu
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机构:
Chinese Acad Sci, Acad Math & Syst Sci, Inst Syst Sci, Beijing 100190, Peoples R ChinaWuhan Univ, Sch Math & Stat, Wuhan 430072, Hubei, Peoples R China
Lu, Jinhu
[3
]
机构:
[1] Wuhan Univ, Sch Math & Stat, Wuhan 430072, Hubei, Peoples R China
[2] South Cent Univ Nationalities, Sch Math & Stat, Wuhan 430074, Peoples R China
[3] Chinese Acad Sci, Acad Math & Syst Sci, Inst Syst Sci, Beijing 100190, Peoples R China
Synchronization of complex networks has been extensively investigated in various fields. In the real world, one network is usually affected by another one but coexists in harmony with it, which can be regarded as another kind of synchronization-generalized synchronization (GS). In this paper, the GS in two-layer complex networks with unidirectional inter-layer coupling via pinning control is investigated based on the auxiliary-system approach. Specifically, for two-layer networks under study, one is considered as the drive network and the other is the response one. According to the auxiliary-system approach, output from the drive layer is designed as input for the response one, and an identical duplication of the response layer is constructed, which is driven by the same driving signals. A sufficient condition for achieving GS via pinning control is presented. Numerical simulations are further provided to illustrate the correctness of the theoretical results. It is also revealed that the least number of pinned nodes needed for achieving GS decreases with the increasing density of the response layer. In addition, it is found that when the intra-layer coupling strength of the response network is large, nodes with larger degrees should be selected to pin first for the purpose of achieving GS. However, when the coupling strength is small, it is more preferable to pin nodes with smaller degrees. This work provides engineers with a convenient approach to realize harmonious coexistence of various complex systems, which can further facilitate the selection of pinned systems and reduce control cost. (C) 2015 AIP Publishing LLC.
机构:
Fudan Univ, Lab Nonlinear Math Sci, Math Inst, Shanghai 200433, Peoples R ChinaFudan Univ, Lab Nonlinear Math Sci, Math Inst, Shanghai 200433, Peoples R China
Chen, Tianping
Liu, Xiwei
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机构:Fudan Univ, Lab Nonlinear Math Sci, Math Inst, Shanghai 200433, Peoples R China
Liu, Xiwei
Lu, Wenlian
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机构:Fudan Univ, Lab Nonlinear Math Sci, Math Inst, Shanghai 200433, Peoples R China
机构:
Fudan Univ, Sch Math Sci, Shanghai 200433, Peoples R ChinaFudan Univ, Sch Math Sci, Shanghai 200433, Peoples R China
Han, Yujuan
Lu, Wenlian
论文数: 0引用数: 0
h-index: 0
机构:
Fudan Univ, Ctr Computat Syst Biol, Shanghai 200433, Peoples R China
Univ Warwick, Dept Comp Sci, Coventry CV4 7AL, W Midlands, EnglandFudan Univ, Sch Math Sci, Shanghai 200433, Peoples R China
Lu, Wenlian
Li, Zhe
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机构:
Fudan Univ, Sch Math Sci, Shanghai 200433, Peoples R ChinaFudan Univ, Sch Math Sci, Shanghai 200433, Peoples R China
Li, Zhe
Chen, Tianping
论文数: 0引用数: 0
h-index: 0
机构:
Fudan Univ, Sch Math Sci, Shanghai 200433, Peoples R China
Fudan Univ, Sch Comp Sci, Shanghai 200433, Peoples R ChinaFudan Univ, Sch Math Sci, Shanghai 200433, Peoples R China
机构:
Fudan Univ, Lab Nonlinear Math Sci, Math Inst, Shanghai 200433, Peoples R ChinaFudan Univ, Lab Nonlinear Math Sci, Math Inst, Shanghai 200433, Peoples R China
Chen, Tianping
Liu, Xiwei
论文数: 0引用数: 0
h-index: 0
机构:Fudan Univ, Lab Nonlinear Math Sci, Math Inst, Shanghai 200433, Peoples R China
Liu, Xiwei
Lu, Wenlian
论文数: 0引用数: 0
h-index: 0
机构:Fudan Univ, Lab Nonlinear Math Sci, Math Inst, Shanghai 200433, Peoples R China
机构:
Fudan Univ, Sch Math Sci, Shanghai 200433, Peoples R ChinaFudan Univ, Sch Math Sci, Shanghai 200433, Peoples R China
Han, Yujuan
Lu, Wenlian
论文数: 0引用数: 0
h-index: 0
机构:
Fudan Univ, Ctr Computat Syst Biol, Shanghai 200433, Peoples R China
Univ Warwick, Dept Comp Sci, Coventry CV4 7AL, W Midlands, EnglandFudan Univ, Sch Math Sci, Shanghai 200433, Peoples R China
Lu, Wenlian
Li, Zhe
论文数: 0引用数: 0
h-index: 0
机构:
Fudan Univ, Sch Math Sci, Shanghai 200433, Peoples R ChinaFudan Univ, Sch Math Sci, Shanghai 200433, Peoples R China
Li, Zhe
Chen, Tianping
论文数: 0引用数: 0
h-index: 0
机构:
Fudan Univ, Sch Math Sci, Shanghai 200433, Peoples R China
Fudan Univ, Sch Comp Sci, Shanghai 200433, Peoples R ChinaFudan Univ, Sch Math Sci, Shanghai 200433, Peoples R China