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Solving the Control Synthesis Problem Through Supervised Machine Learning of Symbolic Regression
Diveev A., Sofronova E., Konyrbaev N.
. Symbolic regression methods, which were previously called genetic programming methods, allow one to use a
Symbolic regression methods for control system synthesis
Diveev A., Kazaryan D., Sofronova E.
In this paper we use symbolic regression methods for control system synthesis. We compare three
Control Synthesis for group of quadrotors by symbolic regression method of symbolil regression
Diveev A.I., Konyrbayev N.B.
Control Synthesis for group of quadrotors by symbolic regression method of symbolil regression
Solution of the optimal control problem by symbolic regression method
Diveev A.I., Konstantinov S.V., Danilova A.M.
The paper introduces an approach to solve the optimal control problem applying symbolic regression
Automatic search of reliability function by symbolic regression
Diveev A.I., Sofronova E.A., Shmalko E.Yu., Zhadnov V.V.
of methods of symbolic regression and provides an evolutionary search for the best compositions
A new two-step approach for solving a control system synthesis problem by symbolic regression methods
Konstantinov S.V., Diveev A.I.
The problem of synthesizing a control system using symbolic regression methods is considered. A new
Solving the Problem of the Optimal Control System General Synthesis Based on Approximation of a Set of Extremals using the Symbol Regression Method
Konstantinov S.V., Diveev A.I.
by the method of symbolic regression is solved. Approach considered in the work makes it possible to eliminate
Control System Synthesis Based on Optimal Trajectories Approximation by Symbolic Regression for Group of Robots
Konstantinov S.V., Diveev A.I.
; at the second step symbolic regression method is used to approximate the obtained set of optimal trajectories
Attractor property for terminal manifold in control synthesis problem
Diveev A., Sofronova E.
equations, the function should provide the property of attractor to a terminal manifold. Symbolic regression
Method of Binary Analytic Programming to Look for Optimal Mathematical Expression
Diveev A.I., Konyrbaev N.B., Sofronova E.A.
In the known methods of symbolical regression by search of the solution with the help of a genetic

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