Estudo Comparativo de Técnicas de Inteligência de Enxame na Redução da Ordem de Sistemas Dinâmicos Lineares

Abstract

Model order reduction has been a recurring problem and several techniques have emerged over the years, when, from the point of view of controller design, their elaboration and construction became inadequate, considering the high degree of redundancy, which large real physical systems may possess. In the field of deterministic mathematics, many works, already consecrated in the literature, have proposed to solve such problem. Recently, techniques involving metaheuristic methods in a predetermined search space using Swarm Intelligence (SI) have been used quite successfully and a new tool has been shown as a solution. Based on this context, this paper presents the understanding of the problem from the point of view of linear systems theory; conducting a comparative study between the SI: Firefly Algorithm, PSO and SFLA.