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The effectiveness of solving the problems of development, reconstruction and control of pipeline systems is directly related to the level of application of methods for mathematical modeling and computer technology, which cannot be provided in isolation from the problems of reliability of information about their actual characteristics and parameters, as well as the degree of adequacy of used models. These problems constitute the content of identification tasks. The trend of transition to intelligent pipeline systems requires consideration of their control processes in real time, and hence the consideration of identification problems as passive identification problems based on the results of dynamic measurement data. The article provides an analysis of the existing experience in the field of dynamic states modeling of pipeline systems of various types and purposes, as well as mathematical formulations of the identification problem depending on the degree of parametric and state nonstationarity of systems, on the method and rate of data acquisition.

Modern Experience in Dynamic States Simulation of Pipeline Systems and the Possibility of its Application to Solving Identification Problems