MULTIOBJECTIVE STOCHASTIC OPTIMIZATION BY PARTICLE MULTISWARM OF ANISOTROPIC REGULATORS OF MULTIMASS ELECTROMECHANICAL SYSTEMS WITH PARAMETRIC UNCERTAINTY
Abstract
Developed a method for solving the problem of anisotropic regulators multiobjective synthesis of multimass electromechanical systems with parametric uncertainty based on the construction of the Pareto-optimal solutions with
help of multi-agent stochastic particle multiswarm optimization, which can significantly reduce the time for solving the problem and meet the diverse requirements that apply to the work of multimass electromechanical systems in different
modes.