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Identification and verification of chaotic dynamics in a missile system from experimental time series

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  • Jin-Wei Liang
  • Shy-Leh Chen
  • Ching-Ming Yen

Abstract

This article is concerned with the chaotic dynamics in a missile system. Five channels of acceleration signals were measured at different locations and/or orientations of the missile during a test flight. Based on these data, the existence of chaotic behaviour is determined using common techniques for nonlinear time series analysis, such as phase-space reconstruction, Poincaré map, correlation dimension and maximum Lyapunov exponent. It is found that the vibration behaviour of the missile system represents high-order (eight dimensional) chaos. Chaotic dynamics exist in three (out of the five) channels of acceleration signals. As typical in experimental time series, the acceleration signals are contaminated with random noises. In order to determine whether deterministic chaos dominates in the three acceleration signals, a sequence of two statistical tests, the BDS test and the Kaboudan test, is applied. The BDS test rules out the possibility that the three acceleration signals are purely random. The subsequent Kaboudan test indicates that deterministic chaotic dynamics indeed dominate in two acceleration signals where the seeker is located.

Suggested Citation

  • Jin-Wei Liang & Shy-Leh Chen & Ching-Ming Yen, 2013. "Identification and verification of chaotic dynamics in a missile system from experimental time series," International Journal of Systems Science, Taylor & Francis Journals, vol. 44(4), pages 700-713.
  • Handle: RePEc:taf:tsysxx:v:44:y:2013:i:4:p:700-713
    DOI: 10.1080/00207721.2011.618639
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    Cited by:

    1. Ping Chen & Jing Yang & Linyuan Li, 2015. "Synthetic detection of change point and outliers in bilinear time series models," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(2), pages 284-293, January.

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