Synchronization in the Kuramoto model: A dynamical gradient network approach
文献类型：期刊论文
| 作者 | Chen, Maoyin1,2,3; Shang, Yun4; Zou, Yong3; Kurths, Juergen3 |
| 刊名 | PHYSICAL REVIEW E
 |
| 出版日期 | 2008-02-01 |
| 卷号 | 77期号:2页码:4 |
| ISSN号 | 1539-3755 |
| DOI | 10.1103/PhysRevE.77.027101 |
| 英文摘要 | We propose a dynamical gradient network approach to consider the synchronization in the Kuramoto model. Our scheme to adaptively adjust couplings is based on the dynamical gradient networks, where the number of links in each time interval is the same as the number of oscillators, but the links in different time intervals are also different. The gradient network in the (n+1)th time interval is decided by the oscillator dynamics in the nth time interval. According to the gradient network in the (n+1)th time interval, only one inlink's coupling for each oscillator is adjusted by a small incremental coupling. During the transition to synchronization, the intensities for all oscillators are identical. Direct numerical simulations fully verify that the synchronization in the Kuramoto model is realized effectively, even if there exist delayed couplings and external noise. |
| WOS研究方向 | Physics |
| 语种 | 英语 |
| WOS记录号 | WOS:000253763800079 |
| 出版者 | AMER PHYSICAL SOC |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/6420]  |
| 专题 | 中国科学院数学与系统科学研究院 |
| 通讯作者 | Chen, Maoyin |
| 作者单位 | 1.Tsinghua Univ, Tsinghua Natl Lab Inforamt Sci & Technol, Beijing 100084, Peoples R China 2.Tsinghua Univ, Dept Automat, Beijing 100084, Peoples R China 3.Univ Potsdam, Inst Phys, D-14469 Potsdam, Germany 4.Acad Sinica, Inst Math, AMSS, Beijing 100080, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Maoyin,Shang, Yun,Zou, Yong,et al. Synchronization in the Kuramoto model: A dynamical gradient network approach[J]. PHYSICAL REVIEW E,2008,77(2):4. |
| APA | Chen, Maoyin,Shang, Yun,Zou, Yong,&Kurths, Juergen.(2008).Synchronization in the Kuramoto model: A dynamical gradient network approach.PHYSICAL REVIEW E,77(2),4. |
| MLA | Chen, Maoyin,et al."Synchronization in the Kuramoto model: A dynamical gradient network approach".PHYSICAL REVIEW E 77.2(2008):4. |
入库方式： OAI收割
来源：数学与系统科学研究院
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