An Investigation of Determinism and Chaotic Behavior in Flight Performance Data: A Chaos Theory and Nonlinear Time Series Analysis Approach

<p>Human flight performance data were investigated using non-linear time series analysis methods to determine deterministic chaotic behavior in the data. Using a sequence of steps of non-linear methods, four flight performance data were used to investigate for the existence of deterministic chaotic behavior. Results revealed that flight performance data may exhibit chaotic behavior. Results also showed a consistent low determinism value in all the data examined which is the defining characteristic of chaotic behavior. It was also found that the data originated from non-stationary process. The Maximal Lyapunov Exponent (MLE) value which indicate chaotic behavior exist in the data revealed that most of the data examined possessed some traces of deterministic chaotic behavior evident by the low Maximal Lyapunov Exponent value.</p>

Name thesis:degree_name

Master of Science in Human Factors & Systems

Level thesis:degree_level

Thesis - Open Access

Discipline thesis:degree_discipline

Human Factors and Systems

Year

2008

Author dc:creator

• Amanfu, Lionel Blankson

Contributors dc:contributor

• Dahai Liu
• Albert J. Boquet
• Seenith Sivasundaram

• determinism
• chaotic behavior
• flight performance
• chaos theory
• nonlinear
• Applied Behavior Analysis

Repository record dc:identifier

https://commons.erau.edu/db-theses/5

OAI identifier oai:identifier

oai:commons.erau.edu:db-theses-1007