Identification of human operator models by stochastic approximation

Abstract

This article discusses the application of stochastic approximation to the estimation of human operator model parameters. Both continuous and sampled-data models are considered. Stochastic approximation was used successfully for parameter estimates in both types of models. In the case of sampled-data models, all parameters, including the sampling interval, have been estimated.