model-based technique for predicting pilot opinion ratings for large commercial transporters

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National Aeronautics and Space Administration, Scientific and Technical Information Office, For sale by the National Technical Information Service] , Washington, D.C, [Springfield, Va
Stability of airplanes., Airplanes -- Handling characteris
StatementWilliam H. Levison ; prepared for Langley Research Center under Contract NAS1-15529.
SeriesNASA contractor report -- NASA CR-3257.
ContributionsLangley Research Center., United States. National Aeronautics and Space Administration. Scientific and Technical Information Office., Bolt, Beranek, and Newman, inc.
The Physical Object
Paginationiv, 73 p. :
ID Numbers
Open LibraryOL17550331M

Model-based technique for predicting pilot opinion ratings for large commercial transporters. Washington, D.C.: National Aeronautics and Space Administration, Scientific and Technical Information Office ; [Springfield, Va.: For sale by the National Technical Information.

The item A model-based technique for predicting pilot opinion ratings for large commercial transporters, William H. Levison ; prepared for Langley Research Center under Contract NAS represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Oklahoma Libraries.

The Pilot Application The Pilot design task added a terrain following and obstacle avoidance capability to an existing air vehicle production model. For the Pilot, the admissible design space is defined by the equipment to be added to the production model with details of how the equipment is to be Size: KB.

This paper shows studies for the development of a mathematical model that adequately represents a pilot behavior in the specific task of offset landing, using data-driven modeling techniques.

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Blood glucose control using model-based methods has been applied successfully in limited adult clinical trials and large-scale clinical implementation, which reduced both blood glucose levels and hypoglycemia using a combined insulin and nutrition protocol.

The success of this model-basedsystem in adults suggests that such an approach could Cited by: In order to evaluate pilot performance objectively, back propagation (BP) neural network model of form in topology with eye movement data was established. Data source of BP neural networks that came from former experiment and random interpolation was divided into training set and test set and normalized.

Based on neural networks toolbox in Matlab, hidden layer nodes of BP networks were Author: Wei Liu, Cheng Kun Liu, Da Min Zhuang, Zhong Qi Liu, Xiu Gan Yuan.

rudder pedal input by the pilot in reaction to an engine failure, in order to maintain the runway centerline. The scope is to apply data-driven techniques, more specifically the ones based on the formalism of system identification, to identify a pilot model based on data.

Pilot task demand load during RNAV approaches with a Cessna Citation. asking the pilot’s opinion on whether the pilot would have adhered. this has a large influence on pilot TDL.

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