USE OF IDENTIFICATION OF DYNAMIC MODELS IN SYNTHESIS OF ADAPTIVE CONTROL SYSTEMS
The case when the object is not controlled yet (we just create the control system) is considered, therefore the effect of the input on the output cannot be investigated at the identification stage. The initial data, which are used in the identification process, are analyzed. It is shown that they can be conveniently divided into two classes: a priori and a posteriori. Adaptive and non-adaptive identification algorithms, their advantages, disadvantages, application conditions are considered. The features of identification of dynamic models are investigated.