Synthesised Optimal Control for a Robotic Group by Complete Binary Genetic Programming

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@InProceedings{Diveev:2021:ICIEA,

• author = "Askhat Diveev and Elena Sofronova and Droh Mecapeu Catherine Prisca",
• title = "Synthesised Optimal Control for a Robotic Group by Complete Binary Genetic Programming",
• booktitle = "2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)",
• year = "2021",
• pages = "100--105",
• abstract = "The paper continues the study of symbolic regression methods for control learning. The optimal control problem with phase constraints for a group of robots is considered. To solve the problem, the method of synthesized optimal control is used. At the first stage the stabilization problem is solved for each robot. Using a new hybrid evolutionary algorithm, built on the basis of the genetic algorithm, the particle swarm optimization and the gray wolf optimizer, stable equilibrium points are found. Next, the original optimization problem by piece-wise linear approximation of the equilibrium points is solved. In contrast to the known methods for solving the synthesis problem, the control learning by the complete binary genetic programming is used. The advantage of this approach is that the resulting control is realizable on board of mobile robots. Simulation is given for a group of two mobile robots.",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/ICIEA51954.2021.9516380",
• ISSN = "2158-2297",
• month = aug,
• notes = "Also known as \cite{9516380}",

}

Genetic Programming entries for Askhat Diveev Ibraghimovich Elena A Sofronova Droh Mecapeu Catherine Prisca

Citations