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Kalman filter estimation of human pilot-model parametersThe parameters of a human pilot-model transfer function are estimated by applying the extended Kalman filter to the corresponding retarded differential-difference equations in the time domain. Use of computer-generated data indicates that most of the parameters, including the implicit time delay, may be reasonably estimated in this way. When applied to two sets of experimental data obtained from a closed-loop tracking task performed by a human, the Kalman filter generated diverging residuals for one of the measurement types, apparently because of model assumption errors. Application of a modified adaptive technique was found to overcome the divergence and to produce reasonable estimates of most of the parameters.
Document ID
19760006748
Acquisition Source
Legacy CDMS
Document Type
Other - NASA Technical Note (TN)
Authors
Schiess, J. R.
(NASA Langley Research Center Hampton, VA, United States)
Roland, V. R.
(NASA Langley Research Center Hampton, VA, United States)
Date Acquired
September 3, 2013
Publication Date
November 1, 1975
Subject Category
Numerical Analysis
Report/Patent Number
NASA-TN-D-8024
L-10041
Accession Number
76N13836
Funding Number(s)
PROJECT: RTOP 506-25-99-01
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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