On Peculiarities of Identification of Multidimensional Continuous Systems by Data with Bounded Indeterminacy

摘要

Results of analytical and numerical studies of identifability and peculiarities of identification problems for multidimensional systems under bounded indeterminacy are presented. A structure of model in the form of iterative scheme, convenient for implementation, enabling one to restore model by individual submodels, is suggested. Conditions, under which identification problem becomes ill-posed, are found.