Synchronization of Kuramoto phase oscillators arranged in real complex neural networks is investigated. It is shown that the synchronization greatly depends on the sets of natural frequencies of the involved oscillato...Synchronization of Kuramoto phase oscillators arranged in real complex neural networks is investigated. It is shown that the synchronization greatly depends on the sets of natural frequencies of the involved oscillators. The influence of network connectivity heterogeneity on synchronization depends particularly on the correlation between natural frequencies and node degrees. This finding implies a potential application that inhibiting the effects caused by the changes of network structure can be bManced out nicely by choosing the correlation parameter appropriately.展开更多
文摘为满足电力系统对时间和频率同步性能的要求,解决电力时间同步系统独立运行的问题,分析了电力频率同步网和时间同步网在时钟源、节点布局、组网方式等方面的相似性,指出了两网合一的优势条件,提出采用电力频率同步网2 M通道传输时间同步信号的方案,方案中采用精确时钟同步协议(precision time synchronization protocol,PTP)技术和E1/Ethernet协议转换技术。研究了主从时钟之间基于PTP技术传输时间同步信号的时钟偏差算法,及PTP数据包通过E1/Ethernet协议转换器进行格式转换的原理,格式转换时使用延时记录模块记录协议转换时间差,从而实现E1与Ethernet协议转换的时延自动补偿。最后,以SDH网络为基础,搭建频率同步网和时间同步网两网合一的模拟平台,测量结果表明时间信号由网络传输后时间精度可达到纳秒级,满足电力业务对时间精度为微秒级的要求,证明频率同步网和时间同步网两网合一具有可行性。
基金Supports by the National Natural Science Foundation of China under Grant Nos.11105095,11074184,11204197,11005077,11205111the Natural Science Foundation of Higher Education Institutions of Jiangsu Province under Grant No.11KJB140008the Priority Academic Program Development of Jiangsu Higher Education Institutions(PAPD)
文摘Synchronization of Kuramoto phase oscillators arranged in real complex neural networks is investigated. It is shown that the synchronization greatly depends on the sets of natural frequencies of the involved oscillators. The influence of network connectivity heterogeneity on synchronization depends particularly on the correlation between natural frequencies and node degrees. This finding implies a potential application that inhibiting the effects caused by the changes of network structure can be bManced out nicely by choosing the correlation parameter appropriately.