Part 1. General problems of the intellectual systems theory

Stabilization of a controlled multiply connected system using a genetic algorithm

E. A. Kaledina, I. M. Guskova

Ogarev Mordovia State University

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