USF St. Petersburg campus Faculty Publications

Investigation of chaotic behavior in flight airspeed error performance data.

SelectedWorks Author Profiles:

Leon Hardy

Document Type

Article

Publication Date

2009

Abstract

Human pilot flight performance data was investigated using nonlinear time series analysis methods to determine deterministic chaotic behavior possessed in the data. Using a sequence of steps of nonlinear methods, flight performance data set was chosen for this study. Results revealed that flight performance data exhibit chaotic behavior with low determinism value. It was also found that data was originated from non-stationary process. The Maximal Lyapunov Exponent (MLE) value further revealed that most of the data examined possessed traces of deterministic chaotic behavior. These findings were discussed and the implication of the findings were given for the future analysis of these kind of data.

Comments

Citation only. Full-text article is available through licensed access provided by the publisher. Members of the USF System may access the full-text of the article through the authenticated link provided.

Publisher

Institute of Industrial Engineers

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

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