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Theoretic aspects of the identification of the parameters in the optimal control modelThe identification of the parameters of the optimal control model from input-output data of the human operator is considered. Accepting the basic structure of the model as a cascade of a full-order observer and a feedback law, and suppressing the inherent optimality of the human controller, the parameters to be identified are the feedback matrix, the observer gain matrix, and the intensity matrices of the observation noise and the motor noise. The identification of the parameters is a statistical problem, because the system and output are corrupted by noise, and therefore the solution must be based on the statistics (probability density function) of the input and output data of the human operator. However, based on the statistics of the input-output data of the human operator, no distinction can be made between the observation and the motor noise, which shows that the model suffers from overparameterization.
Document ID
19790009307
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Vanwijk, R. A.
(Technische Hogeschool Delft, Netherlands)
Kok, J. J.
(Technische Hogeschool Delft, Netherlands)
Date Acquired
August 10, 2013
Publication Date
January 1, 1977
Publication Information
Publication: MIT Proc., 13th Ann. Conf. on Manual Control
Subject Category
Cybernetics
Accession Number
79N17478
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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