On one approach to the uncertainty investigation arising in model identification

Paper is devoted to the Identification Sets Method: a visual approach to the identification of the models parameters, based on the construction and visualization of the multidimensional graph of error function, as well as of sets of quasi-optimal parameters. The proposed approach may be effective in conditions of the decision uncertainty arising in the process of identification.