METHOD OF STRUCTURAL IDENTIFICATION OF NONLINEAR INTERVAL MODELS OF STATIC OBJECTS

The process of building mathematical models static objects and systems, which includes the solution two problems: structural parametric identification, is considered. At same time, task identifying structure model more difficult primary. problem identification interval characteristic a object multiple solving problems this model, therefore, from computational point view, it NP complex. procedure for finding optimal considered as directed selection defined set structures in such way to minimize number iterations formation systems nonlinear algebraic equations. article formulates objects, repeatedly searching solutions equations, form optimization with objective function constraints. For first method characteristics based on analysis data proposed substantiated, which, unlike existing ones, self-organization self-adaptation procedures computing by analogy artificial bee colony (АBC), gives ability implement lower complexity obtain simpler compared known methods. was tested example an small hydroelectric plant purpose research ensuring maximum efficiency use hydropower resources, demonstrated effectiveness using colony. Accordingly, makes possible simple, view complexity, complex given guaranteed accuracy these models. Such features ensure effective development apparatus, used both decision-making processes preparing decisions intellectualized data-oriented systems.