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Solving the Control Synthesis Problem Through Supervised Machine Learning of Symbolic Regression
Diveev A., Sofronova E., Konyrbaev N.
This paper considers the control synthesis problem and its solution using symbolic regression
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
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
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
Symbolic Regression based Solution for the Optimal Control Problem with Constraints
Diveev A.I., Hussein O., Shmalko E.Yu.
attractors, is solved. To solve the synthesis problem, methods of symbolic regression are used, which
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
Using symbolic regression techniques for machine learning to control robot movement: Advantages and cons
Zhavush K.S., Chavush H.S., Mendez F.N.
Symbolic regression techniques, a prominent facet of machine learning, have garnered attention
Optimal Control System Synthesis Based on the Approximation of Extremals by Symbolic Regression
Konstantinov S.V., Diveev A.I., Sofronova E.A., Zelinka I.
function. Symbolic regression methods are used for approximation. Simulation is carried out for a car
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

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