APPLICATION OF DISTURBANCE-ACCOMMODATING CONTROL IN THE MODEL ERROR PROBLEM.
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Definitions of model error vectors are given to show that the errors in finite dimensional models of dynamic systems have four classifications: 1) parameter errors, 2) errors in model order, 3) neglected disturbances, 4) neglected nonlinearities. Various characterizations of the model errors yield model error systems which lead to convenient interpretations of controllers based upon disturbance accommodation, singular perturbation, parameter sensitivity, Kalman filters and orthogonal filters.