Automatic programming (AP) is one of the most attractive branches of artificial intelligence
because it provides effective solutions to problems with limited knowledge in many different …

The problem of control synthesis is considered as machine learning control. The paper
proposes a mathematical formulation of machine learning control, discusses approaches of …

This chapter provides a detailed description of different symbolic regression methods. Some
methods differ directly in the form of coding, as well as variational methods are based on the …

The optimal control problem with phase constraints is considered. A new indirect approach
of synthesized optimal control is proposed as an alternative to direct methods. A …

The problem of monitoring of some area by means of mobile robots is considered. In the
stated problem we assume that the area with obstacles is given and randomly located marks …

The paper considers the problem of optimal control design in the presence of uncertainties.
Uncertainties of various nature are almost always appear in real objects. They can be …

The paper presents the results of our research on the application of symbolic regression
methods for the numerical solution of the problem of synthesis of synergetic control …

Настоящая работа представляет обзор современных методов символьной регрессии и
является логическим продолжением статьи, посвященной обзору классических методов …

В настоящей работе представлены результаты исследований применения
современных численных методов символьной регрессии для автоматического синтеза …

This article presents a study devoted to the emerging method of synthesized optimal control.
This is a new type of control based on changing the position of a stable equilibrium point …