期刊文献+

直达列车车流的混沌吸引子 被引量:1

Chaos Attractor of the Through Train Flow
在线阅读 下载PDF
导出
摘要 本文将直达列车车流作为一个系统来考虑,该系统的输入为众多各异的车列所产生某去向列车的集结车辆,而输出为某去向列车车列。利用波谱分析方法,分析了该系统输入的非线性振动特性;发现其输入的波谱为一连续谱,从而揭示了该系统输入的非线性振动的内在机理——这种不规则的振动具有混沌特性,其吸引子为—混沌吸引子。 The paper treats the through train flow as a system, the inout of which consists of the nymbers of assmbling wagon of the train to a station and the outout is a through train to a station. By the method of spectrum analysis,the characteristics of nonlinear oscillations of the system input are analysed. The continuous formation of the specturm distibution shows that the mechanism of the nonlinear oscillations of the system input is that the irregular oscillations possess the characteristics of chaos and the attractor is a strange attractor.
作者 蒲云
出处 《西南交通大学学报》 EI CSCD 北大核心 1993年第5期99-103,共5页 Journal of Southwest Jiaotong University
关键词 直达列车车流 波谱分析 浑沌吸引子 through train flow chaos attractor spectrum ananlysis system
  • 相关文献

同被引文献13

  • 1Kantz H,Schreiber T.Nonlinear time series analysis[M].Cambridge:Cambridge University Press,1997.127-130.
  • 2Haykin S,Xiao B L.Detection of signals in chaos[J].Proceedings of the IEEE,1995,83(1):95-122.
  • 3Zhang J S,Xiao X C.Predicting chaotic time series with recurrent neural networks[J].Chinese Physics Letter,2000,17(2):88-90.
  • 4Farmer J D.Sidorowich J J.Predicting chaotic time series[J].Physica Review Letter,1987,59(8):845-848.
  • 5Casdagli M.Nonlinear prediction of chaotic time series[J].Physica D,1989,35:335-356.
  • 6Sivakumar B.A phase-space reconstruction approach to prediction of suspended sediment concentration in rivers[J].Journal of Hydrology,2002,258:149-162.
  • 7Saad E W,Prokhorov D V,Wunsch D C.Comparative study of stock trend prediction using time delay,recurrent and probabilistic neural networks[J].IEEE Transactions on Neural Networks,1998,9(6):1 456-1 473.
  • 8Brandt M E,Ademoglu A,Pritchard W S.Nonlinear prediction and complexity of alpha EEG activity[J].International Journal of Bifurcation and Chaos,2000,10(1):123-133.
  • 9张家树,肖先赐.混沌时间序列的Volterra自适应预测[J].物理学报,2000,49(3):403-408. 被引量:149
  • 10张家树,郭双冰,肖先赐.混沌跳频通信的非线性自适应预测对抗[J].信号处理,2001,17(3):205-209. 被引量:16

引证文献1

二级引证文献12

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部