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Machine Learning Control by Symbolic Regression

1st Edition 2021, 2021

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Machine-Made Synthesis of Stabilization System by Modified Cartesian Genetic Programming

IEEE transactions on cybernetics, 2022-07, Vol.PP (7), p.1-11

2022

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Adaptive Synthesized Control for Solving the Optimal Control Problem

Mathematics (Basel), 2023-10, Vol.11 (19), p.4035

2023

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Additional Requirement in the Formulation of the Optimal Control Problem for Applied Technical Systems

Engineering proceedings, 2023-05, Vol.33 (1), p.7

2023

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Synthesis of a Feedback Controller by the Network Operator Method for a Mobile Robot Rosbot in Gazebo Environment

Engineering proceedings, 2023-05, Vol.33 (1), p.6

2023

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Machine Learning Feedback Control Approach Based on Symbolic Regression for Robotic Systems

Mathematics (Basel), 2022-11, Vol.10 (21), p.4100

2022

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Control Synthesis as Machine Learning Control by Symbolic Regression Methods

Applied sciences, 2021-06, Vol.11 (12), p.5468

2021

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Research of Trajectory Optimization Approaches in Synthesized Optimal Control

Symmetry (Basel), 2021-02, Vol.13 (2), p.336

2021

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Fundamentals of Synthesized Optimal Control

Mathematics (Basel), 2021-01, Vol.9 (1), p.21

2021

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Autonomous Navigation of Mobile Robot Assisted by Its Identified Neural Network Model

Engineering proceedings, 2023-05, Vol.33 (1), p.8

2023

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Machine Learning Control Based on Approximation of Optimal Trajectories

Mathematics (Basel), 2021-02, Vol.9 (3), p.265

2021

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Complete Binary Variational Analytic Programming for Synthesis of Control at Dynamic Constraints

ITM Web of Conferences, 2017, Vol.10, p.2004

2017

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Extended Statement of the Optimal Control Problem and Machine Learning Approach to Its Solution

Mathematical problems in engineering, 2022-12, Vol.2022, p.1-12

2022

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Multipoint Numerical Criterion for Manifolds to Guarantee Attractor Properties in the Problem of Synergetic Control Design

ITM Web of Conferences, 2018, Vol.18, p.1001

2018

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Synthesized optimal control based on machine learning

Journal of physics. Conference series, 2021-01, Vol.1727 (1), p.12006

2021

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Automatic approach to stabilization and control for multi robot teams by multilayer network operator

ITM Web of Conferences, 2016, Vol.6, p.2004

2016

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MACHINE LEARNING OF CONTROL SYSTEMS WITH FEEDBACK BASED ON THE PRINCIPLE OF SYNTHESIZED OPTIMAL CONTROL

Надежность и качество сложных систем, 2024-01 (4)

Shmalko, Elizaveta

2024

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Computational Approach to Optimal Control in Applied Robotics

Frontiers in Robotics and Electromechanics, 2023, p.387-401

2023

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Multicriterial analyses of Pareto-efficiency for collaborative multi-agent systems using genetic algorithm with variations

Procedia computer science, 2021, Vol.186, p.793-801

2021

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Comparative study of numerical solutions for the optimal control problem in the presence of uncertainties

Procedia computer science, 2021, Vol.186, p.279-286

2021

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Feasibility of Synthesized Optimal Control Approach on Model of Robotic System with Uncertainties

Electromechanics and Robotics, 2022, p.131-143

2022

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Multi-point Stabilization Approach to the Optimal Control Problem with Uncertainties

Advances in Optimization and Applications, 2021, Vol.1340, p.129-142

2021

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Identification of Neural Network Model of Robot to Solve the Optimal Control Problem

Informatika i avtomatizaciâ (Online), 2021-11, Vol.20 (6), p.1254-1278

2021

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Comparison of Direct and Indirect Approaches for Numerical Solution of the Optimal Control Problem by Evolutionary Methods

Optimization and Applications, 2020, Vol.1145, p.180-193

2020

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MACHINE LEARNING OF CONTROL SYSTEMS WITH FEEDBACK BASED ON THE PRINCIPLE OF SYNTHESIZED OPTIMAL CONTROL

Надежность и качество сложных систем, 2023-10 (3)

Shmalko, Е.Yu

2023

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Machine Learning Control by Symbolic Regression

Machine-Made Synthesis of Stabilization System by Modified Cartesian Genetic Programming

Adaptive Synthesized Control for Solving the Optimal Control Problem

Additional Requirement in the Formulation of the Optimal Control Problem for Applied Technical Systems

Synthesis of a Feedback Controller by the Network Operator Method for a Mobile Robot Rosbot in Gazebo Environment

Machine Learning Feedback Control Approach Based on Symbolic Regression for Robotic Systems

Control Synthesis as Machine Learning Control by Symbolic Regression Methods

Research of Trajectory Optimization Approaches in Synthesized Optimal Control

Fundamentals of Synthesized Optimal Control

Autonomous Navigation of Mobile Robot Assisted by Its Identified Neural Network Model

Machine Learning Control Based on Approximation of Optimal Trajectories

Complete Binary Variational Analytic Programming for Synthesis of Control at Dynamic Constraints

Extended Statement of the Optimal Control Problem and Machine Learning Approach to Its Solution

Multipoint Numerical Criterion for Manifolds to Guarantee Attractor Properties in the Problem of Synergetic Control Design

Synthesized optimal control based on machine learning

Automatic approach to stabilization and control for multi robot teams by multilayer network operator

MACHINE LEARNING OF CONTROL SYSTEMS WITH FEEDBACK BASED ON THE PRINCIPLE OF SYNTHESIZED OPTIMAL CONTROL

Computational Approach to Optimal Control in Applied Robotics

Multicriterial analyses of Pareto-efficiency for collaborative multi-agent systems using genetic algorithm with variations

Comparative study of numerical solutions for the optimal control problem in the presence of uncertainties

Feasibility of Synthesized Optimal Control Approach on Model of Robotic System with Uncertainties

Multi-point Stabilization Approach to the Optimal Control Problem with Uncertainties

Identification of Neural Network Model of Robot to Solve the Optimal Control Problem

Comparison of Direct and Indirect Approaches for Numerical Solution of the Optimal Control Problem by Evolutionary Methods

MACHINE LEARNING OF CONTROL SYSTEMS WITH FEEDBACK BASED ON THE PRINCIPLE OF SYNTHESIZED OPTIMAL CONTROL

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