The development of CICS with a parametric modeling subsystem

Abstract

The model of the random process system was researched in order to study the functions of parametric modeling and determine the difference between the modeling algorithms in computerized intelligent control systems. Appliance of the Prony function gives an exact coincidence of the impulse responses initial fragments, but does not ensure the stability of the resulting control system, whilst the MacBride function minimizes the deviation of the obtained characteristic from the specified one.