Instruments and Systems: Monitoring, Control, and Diagnostics Annotation << Back Approximation of mathematical models of dynamic systems A.I. GELONKIN T.G. SAMCHARADZE Modeling of complex dynamic processes that take into account many parameters and conditions, leads to the complex equations of higher order. The analysis methods of approximation for minimizing decisions when a specified accuracy. Common identification methods in engineering practice. the results are private, lawful in relation to specific modes of a particular object with the specified parameter values. The advantage of decomposition of functions into the endless rows of is its simplicity and the sufficient accuracy of the approximation. Disadvantages: lack of common selection rules a minimum order original and approximating functions. Spline-approximation of functions used in models by experimental data. Keywords: approximation, simulation, dynamic, identification, information, specifications, apriori, differential, restoration, spline, accuracy. Contacts: E-mail: gelonkin@yandex.ru Pp. 20-22.