Stabilization of a controlled multiply connected system using a
genetic algorithm

Kaledina Elena Alexandrovna; Guskova Irina Mikhailovna

Stabilization of a controlled multiply connected system using a genetic algorithm

Kaledina E. A., Guskova I. M.

Kaledina Elena Alexandrovna

Ph.D. in Physical and Mathematical Sciences, associate professor of the department of applied mathematics, differential equations and theoretical mechanics, Ogarev Mordovia State University of Faculty of Mathematics and Information Technology

Guskova Irina Mikhailovna

master’s student of Faculty of Mathematics and Information Technology Ogarev Mordovia State University

Published: 2024, vol. 28, issue 1, pp. 5–17

Download full text (In Russian)

Abstract

In this work, a multiply connected controlled dynamic system with local control is reviewed. Based on a genetic algorithm, a method for constructing local controls that stabilize the system as a whole has been developed. In this case, the parameters of the genetic algorithm are used, namely the selection, crossover, mutation operators, the type of ﬁtness function and the critical basis. Modeling and analysis of the results obtained were carried out.

Keywords: genetic algorithms, multiply connected dynamic system, local control, asymptotic stability, stabilization.

BibTeX

@article{IS-Kaledina-Guskova2024,
  author  = {Kaledina, Elena Alexandrovna and Guskova, Irina Mikhailovna},
  title   = {{Stabilization of a controlled multiply connected system using a genetic algorithm}},
  journal = {Intelligent Systems. Theory and Applications},
  year    = {2024},
  volume  = {28},
  number  = {1},
  pages   = {5--17},
}

AMSBIB

\Bibitem{IS-Kaledina-Guskova2024}
\by E.\,A.~Kaledina, I.\,M.~Guskova
\paper Stabilization of a controlled multiply connected system using a genetic algorithm
\jour Intelligent Systems. Theory and Applications
\yr 2024
\vol 28
\issue 1
\pages 5--17
\lang In Russian

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