Algoritmo diferencial evolutivo aplicado à identificação de sistemas dinâmicos não-lineares

Abstract

The main objective of this work is to contribute in the structure’s selection stage in system identification process using artificial intelligence techniques, especially the Differential Evolutionary (DE) algorithm. To reach this goal a new NARMAX representation is proposed where exponents with real values are used. The evaluation of the proposed method was performed through an application developed specifically for this work with a QT package using C + + and parallel programming techniques. Different kinds of artificial systems were tested to evaluate the proposed methodology. Finally the methodology is applied to a dc-dc converter Boost -Buck and a biochemical polymer reactor and the results are presented.