scholarly journals Multivariate Spline-Based Adaptive Control of High-Performance Aircraft with Aerodynamic Uncertainties

2016 ◽  
Vol 39 (4) ◽  
pp. 781-800 ◽  
Author(s):  
H. J. Tol ◽  
C. C. de Visser ◽  
L. G. Sun ◽  
E. van Kampen ◽  
Q. P. Chu
Keyword(s):  
Adaptive Control ◽  
High Performance ◽  
Multivariate Spline ◽  
High Performance Aircraft

scholarly journals Nonlinear Multivariate Spline-Based Control Allocation for High-Performance Aircraft

2014 ◽  
Vol 37 (6) ◽  
pp. 1840-1862 ◽  
Author(s):  
H. J. Tol ◽  
C. C. de Visser ◽  
E. van Kampen ◽  
Q. P. Chu
Keyword(s):  
High Performance ◽  
Control Allocation ◽  
Multivariate Spline ◽  
High Performance Aircraft

Individual Differences in Attention and the Prediction of Flight Criteria

1971 ◽  
Vol 33 (3_suppl) ◽  
pp. 1335-1342 ◽  
Author(s):  
Daniel Gopher ◽  
Daniel Kahneman
Keyword(s):  
Individual Differences ◽  
Selective Attention ◽  
Dichotic Listening ◽  
High Performance ◽  
The Other ◽  
Listening Test ◽  
Transient Instability ◽  
High Performance Aircraft

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.

Tracking-Task Performance during Heat Stress Simulating Cockpit Conditions in High-Performance Aircraft

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
Keyword(s):  
Heat Stress ◽  
Task Performance ◽  
High Performance ◽  
Tracking Task ◽  
High Performance Aircraft

scholarly journals The Application of a Computerized Cognitive Screening Tool in Naval Aviators

2021 ◽  
Vol 186 (Supplement_1) ◽  
pp. 198-204
Author(s):  
Shawnna M Chee ◽  
Veronica E Bigornia ◽  
Daniel L Logsdon
Keyword(s):  
Repeated Measures ◽  
High Performance ◽  
Mixed Model ◽  
Screening Tool ◽  
Federal Aviation Administration ◽  
Control Group ◽  
Operational Environment ◽  
Desktop Computer ◽  
Naval Aviators ◽  
High Performance Aircraft

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.

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