In modern control theory the methodology of linear-quadratic (LQ) optimization of regulation processes occupies in popularity one of the leading places. The given theoretical trend in native scientific sphere they also called as analytical formation of optimal regulators (AFOR) However, within the frames of the known statements of the problems of LQ optimal regulation (further LQ problems) in fact the problem of dynamic quality of the regulation processes which is central problem for the theory and practice of automatic systems is emasculated. In the present article the new method of the synthesis of automatic regulation problems based on the dynamic correction of the control object which is realized by means of use of formalism of LQ optimization problems. In the base of the solved problem of the correction is the idea of postulating of the desired dynamic properties of the synthesized system in the form of the given standard model of the corrected object. The algorithmization of correction problems is based on the formalism of LQ problems, and the optimized integral quadratic functional serve as a measure of deviation of the formed transient characteristics of the regulation channels from the standard values. The proposed scheme of dynamic correction may be of interest not only for the regulation problems. In particular, it is applicable to the problems of software and remote control. Let us note the methodological aspect of the received results. They point to the principle possibility of convergence of the classical concept of the dynamic quality of the regulation processes and the AFOR apparatus.