| 一种在线实时快速判定混沌的智能方法 |
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| 引用本文： | 张龙斌,贺国光,卢宇.一种在线实时快速判定混沌的智能方法[J].天津理工大学学报,2007,23(1):18-21. |
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| 作者姓名： | 张龙斌 贺国光 卢宇 |
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| 作者单位： | 天津大学,系统工程研究所,天津,300072 |
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| 摘 要： | 在某些实时控制系统中,必须尽快地识别出混沌,以便及时采取控制措施避免系统进入无序状态..然而现有的混沌识别方法由于要求样本量大,无法满足实时性的要求.本文提出了一种在线实时快速判定混沌的智能方法,通过找出产生混沌的初始条件和混沌之间的对应关系,可以在混沌产生之初检测到混沌.本文利用神经网络,小波包等工具在MATLAB环境下对交通仿真系统给出了智能方法的具体实现.给出了仿真试验的结果.结果表明只需32个样本点就可以在混沌产生之初精确地检测到混沌,可以很好地满足混沌检测实时性的要求.
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| 关 键 词： | 混沌 实时识别 Lyapunov指数 小波包 BP神经网络 |
| 文章编号： | 1673-095X（2007）01-0018-04 |
| 收稿时间： | 2006-03-08 |
| 修稿时间： | 2006年3月8日 |
An intelligent method for real-time identifying of chaos |
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| ZHANG Long-bin,HE Guo-guang,LU Yu.An intelligent method for real-time identifying of chaos[J].Journal of Tianjin University of Technology,2007,23(1):18-21. |
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| Authors: | ZHANG Long-bin HE Guo-guang LU Yu |
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| Institution: | Institute of Systems Engineering, Tianjin University, Tianjin 300072, China |
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| Abstract: | In some real-time control systems,real-time identifying of chaos is required as early as possible,so that the control step is adopted in time and the disorder state of system is avoided.But the existing indentifying method cannot fit this requirement because it need a large number of samples. An intelligent method for real-time identifying of chaos was presented based on extracting the relationship between initial condition and chaos which can identify chaos in initial time when chaos generate.This method was realized on the traffic simulation system in MATLAB,using neural networks and wavelet packet method.The simulation results are given.The results proved that this method can identify chaos in initial time and just need 36 samples so it can fit the realtime requirement of the identifying of chaos efficiently. |
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| Keywords: | chaos real-time identifying Lyapunov exponents wavelet packet BP neural network |
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