Abstract:
Consideration was given to an identification algorithm taking into account the a priori information about the parameters. The original experimental data from the input-output space are transformed in the space of parameter estimates where the set of estimates satisfying the a priori constraints is specified. The parameter estimates are constructed on this set using the probabilistic criterion. An example illustrating effectiveness of the proposed procedure was presented.