STOCHASTIC MULTIAGENT OPTIMIZATION OF ANISOTROPIC REGULATORS OF MULTIMASS ELECTROMECHANICAL SYSTEMS

Abstract

Developed a method for solving the problem of anisotropic regulators multicriterion synthesis of multimass electromechanical systems based on multi-agent stochastic particle swarm optimization, which can significantly reduce the time for solving the problem and meet the diverse requirements that apply to the work of multimass еlectromechanical systems in different modes.