The paper is concerned with the parametric optimization of control alg
orithms for a structure consisting of a closed linear system and a ref
erence model. An adaptive identification technique is designed, which
during iteration approximates the system's parameters close to those o
f the reference model by minimizing the quality criterion applied. The
consistency of the estimated parameters of the control algorithm are
assessed through cluster analysis techniques.