We derive necessary and sufficient conditions under which the paramete
rs of the model are identical to those of the true system which is sup
posed to be linear and of finite dimension. These conditions are that
the cross-correlations between the output error and the input as well
as the model output should be asymptotically null in a finite horizon.
This horizon may be used as a minimum necessary test horizon in model
validation.