Investigation of Chaotic Behavior in Flight Airspeed ErrorPerformance Data

摘要

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