IDENTIFICATION OF PARAMETRIC BOUND MODELS OF COMPLEX SYSTEMS
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Approaches for complex systems models identification are considered in the paper. The distinctive features of models are parametric bound, multi-scalability and incompleteness of observations. Effectiveness of this approach is proved by several examples. Schemes of parameter identification for two models in system “ocean-atmosphere” and HIV population dynamic model are shown.