Identifiability of the optimal control model for the human operator

An important problem in manual control concerns the identification of human operator model parameters from measured data. This paper considers the identifiability properties of the optimal control model structure for the human operator. The formulation of the model may be summarized as follows [1]: Let the plant dynamics be given by x(t) = Ax(t) + bu(t) + w(t) (1) where the n-vector x(t) is the plant state vector, u(t) is the human´s scalar control input to the system, and w(t) represents random external disturbances assumed to be zero-mean, Gaussian and white with covariance W.