Estimation of chaotic nature of dynamical system through nonlinear analysis
文献类型：会议论文
| 作者 | Deng LH(邓林华)1 ; Zhou, Shuang2
|
| 出版日期 | 2014 |
| 会议名称 | International Conference on Cyberspace Technology (CCT 2014) |
| 会议日期 | 2014-11-08 |
| 会议地点 | Beijing, China |
| 关键词 | solar activity Information processing rescaled range analysis maximal Lyapunov exponent |
| 卷号 | 2014 |
| 英文摘要 | Estimation of low-dimensional chaos from nonlinear time series is a very important but difficult task in scientific fields. Among the several techniques proposed for this aim are the rescaled range analysis and maximal Lyapunov exponent, which quantify the amount of a time series. These two techniques are applied to analyse the astronomical time series, which is non-stationary and nonlinear in nature. It is found that, (1) solar activity exhibits a complex and strongly chaotic behaviour and is governed by a low-dimensional chaotic attractor; (2) the predictability time of the chaotic motion in solar-activity indicator is up to 1.12 years. These results indicate that chaotic characteristics obviously exist in the solar time series, and thus techniques based on rescaled range analysis and maximal Lyapunov exponent can be used to analyse and predict solar activity. It should be pointed out that solar activity forecast should be done only for a short to medium term due to the initial value of the sensitive of the chaotic system. |
| 收录类别 | EI |
| 产权排序 | 第一完成单位 |
| 会议录 | International Conference on Cyberspace Technology (CCT 2014)
 |
| 会议录出版者 | Institution of Engineering and Technology |
| 学科主题 | 天文学 |
| 语种 | 英语 |
| ISBN号 | 978-1-84919-928-5 |
| 源URL | [http://ir.ynao.ac.cn/handle/114a53/4876]  |
| 专题 | 云南天文台_抚仙湖太阳观测站 |
| 作者单位 | 1.Yunnan Obs., Kunming, China 2.Chongqing Inst. of Green & Intell. Technol., Chongqing, China |
| 推荐引用方式 GB/T 7714 | Deng LH,Zhou, Shuang. Estimation of chaotic nature of dynamical system through nonlinear analysis[C]. 见:International Conference on Cyberspace Technology (CCT 2014). Beijing, China. 2014-11-08. |
入库方式： OAI收割
来源：云南天文台
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