Robust identification method for nonlinear model structures and its application to high-performance aircraft

2013 ◽  
Vol 44 (6) ◽  
pp. 1040-1051 ◽  
Author(s):  
Zhong-Ke Shi ◽  
Fang-Xiang Wu
1971 ◽  
Vol 33 (3_suppl) ◽  
pp. 1335-1342 ◽  
Author(s):  
Daniel Gopher ◽  
Daniel Kahneman

A dichotic listening test was constructed which requires S to monitor a relevant message and to ignore a concurrent message presented to the other ear. The test has promising validity for predicting different criteria of proficiency in flying high-performance aircraft. An analysis of the most valid type of errors suggests that a change in an existing orientation is accompanied by a transient instability of selective attention. Most errors in continuous attention are omissions, which indicate a failure of the listening set. Intrusions, which indicate a failure of selectivity, are rare and their frequency is not correlated to flight criteria.


Ergonomics ◽  
1979 ◽  
Vol 22 (5) ◽  
pp. 549-555 ◽  
Author(s):  
SARAH A. NUNNELEY ◽  
PATRICK J. DOWD ◽  
LOREN G. MYHRE ◽  
RICHARD F. STRIBLEY ◽  
RICHARD C. MCNEE

2021 ◽  
Vol 186 (Supplement_1) ◽  
pp. 198-204
Author(s):  
Shawnna M Chee ◽  
Veronica E Bigornia ◽  
Daniel L Logsdon

ABSTRACT Introduction The CogScreen-Aeromedical Edition (CogScreen-AE) is a computerized neurocognitive assessment screening tool developed for the Federal Aviation Administration as a rapid, reliable means of measuring neurocognitive deficiency in civilian airline pilots. This has potential use and assessment of military aviators flying high performance aircraft under extreme conditions; however, no data exist on how the dynamic flight environment affects CogScreen-AE scores. The objectives of this study were to determine what changes in performance on CogScreen-AE scores are seen post-flight in Naval Aviators flying high performance aircraft and to determine the potential for use of CogScreen-AE as a screening tool to evaluate degree of impairment, recovery from neurological illness, and return to duty status of a military aviator. Materials and Methods Repeated measures, within-subjects experimental design with three CogScreen-AE administrations—introduction session, preflight session, and postflight session. An experimental study group was exposed to dynamic flight between preflight and postflight sessions, while a control group flew a desktop computer flight simulator between sessions. Data were analyzed by mixed model ANOVA using Statistical Package for the Social Sciences to compare CogScreen-AE pre- and postflight performance on 5 composite scores of variables that account for 45% of the variance in predicting flight performance. Results Preflight versus postflight scores demonstrated no significant differences in performance attributable to flight in high performance aircraft. Conclusions The CogScreen-AE performance is shown to be consistent preflight to post-flight. These data show that CogScreen-AE may be a reliable clinical instrument for assessing aviators’ cognitive function with regard to return to flight duty decision-making. We anticipate future work in determining how CogScreen-AE can be utilized in the operational environment and documenting recovery from neurologic illness.


2000 ◽  
Vol 120 (4) ◽  
pp. 566-573
Author(s):  
Osamu Yamanaka ◽  
Akihiro Nagaiwa ◽  
Shinichiro Matsubara ◽  
Masajiro Nakada ◽  
Fumio Yamada

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