A generalization of the dynamic regressor extension and mixing procedure is
proposed. First of all, it relaxes the requirement of the regressor finite
excitation, which is known to be the condition for the mentioned procedure
convergence. Secondly, if the weaker requirement of the regressor
semi-finite-excitation is met, it guarantees the uniform ultimate boundedness
of the parameter error and elementwise monotonicity for transients of some
parameters to be identified.Comment: 21 pages. In Russia