DataVXAIP AdvancesPaper
journal article·2014-07-01Open access

Synchronization in node of complex networks consist of complex chaotic system

Qiang Wei, Cheng-jun Xie, Hong-jun Liu, Yan-hui Li

AIP Advances· Volume 4· Issue 7
Publisher pageOpen full text
Source abstract

Abstract

A new synchronization method is investigated for node of complex networks consists of complex chaotic system. When complex networks realize synchronization, different component of complex state variable synchronize up to different scaling complex function by a designed complex feedback controller. This paper change synchronization scaling function from real field to complex field for synchronization in node of complex networks with complex chaotic system. Synchronization in constant delay and time-varying coupling delay complex networks are investigated, respectively. Numerical simulations are provided to show the effectiveness of the proposed method.
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Research context

OpenAlex topics: Neural Networks Stability and Synchronization · Nonlinear Dynamics and Pattern Formation · Chaos control and synchronization

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

BeiHua University 1 Beihua University computer and technology College, , Jilin, 132021, Jilin, China

BeiHua University 2 Digital Images Processing Institute of Beihua University, , Jilin, 132011, Jilin, China

Dalian University of Technology 3 Faculty of Electronic Information and Electrical Engineering, , Dalian, 116024, China

Weifang Vocational College 4 School of Information Engineering, , Weifang, 261041, China

Weifang Vocational College 5 The Library, , Weifang, 261041, China

Funding

National Natural Science Foundation of China

References (22)

Show source-provided references
1. Communications in Nonlinear Science and Numerical Simulation · 2014 · 19 · 198510.1016/j.cnsns.2013.10.030 ↗
2. Journal of Zhenjiang university of science c computer & electronics · 2014 · 15 · 21110.1631/jzus.C1300266 ↗
3. Communications in Nonlinear Science and Numerical Simulation · 2014 · 19 · 284310.1016/j.cnsns.2013.12.027 ↗
4. Journal of vibration and control · 2014 · 110.1177/1077546314522506 ↗
5. Nonlinear Dynamics · 2013 · 73 · 149510.1007/s11071-013-0880-1 ↗
6. International Journal of control automation and system · 2014 · 12 · 25910.1007/s12555-013-0421-1 ↗
7. International Journal of Modern Physics B · 2014 · 28 · 145005810.1142/S0217979214500581 ↗
8. Communications in Nonlinear Science and Numerical Simulation · 2014 · 19 · 410510.1016/j.cnsns.2014.05.005 ↗
9. Chaos · 2012 · 22 · 02313010.1063/1.4721996 ↗
10. Nonlinear Dynamics · 2013 · 73 · 167110.1007/s11071-013-0894-8 ↗
11. Chinese Physics B · 2013 · 22 · 12050510.1088/1674-1056/22/12/120505 ↗
12. Acta physica sinica · 2013 · 62 · 24050210.7498/aps.62.240502 ↗
13. Chinese Physics B · 2013 · 22 · 10050410.1088/1674-1056/22/10/100504 ↗
14. Nonlinear Dynamics · 2013 · 72 · 910.1007/s11071-012-0685-7 ↗
15. Communications in Nonlinear Science and Numerical Simulation · 2011 · 16 · 96610.1016/j.cnsns.2010.04.036 ↗
16. Physics Letters A · 2010 · 374 · 393210.1016/j.physleta.2010.07.059 ↗
17. Physica Scripta · 2013 · 88 · 05500610.1088/0031-8949/88/05/055006 ↗
18. AIP ADVANCES · 2011 · 1 · 03214410.1063/1.3631773 ↗
19. Nonlinear Dynamics · 2012 · 69 · 77110.1007/s11071-011-0303-0 ↗
20. Nonlinear Dynamics · 2013 · 72 · 910.1007/s11071-012-0685-7 ↗
21. Discrete Dynamics in Nature and Society · 2014 · 96529710.1155/2014/965297 ↗
22. Physica A · 2007 · 382 · 67210.1016/j.physa.2007.04.021 ↗