Aplicação do algoritmo MOESP na identificação de sistemas dinâmicos

Abstract

System identification is an area of great relevance in engineering as it offers a solution to a control problem when direct modeling of complex systems is not feasible. By using input and output data from a system under analysis, it is possible to obtain a mathematical model that represents its dynamics without the need to fully understand its internal workings. Among the identification methods in the literature, the MOESP algorithm stands out for its simplicity, relevance, and determinism, capable of algebraically identifying a system represented by state equations. This work proposes the study of the stages of this algorithm, as well as its application and validation in examples of systems with diverse dynamic behaviors. Additionally, the influence of the estimated order on the results (a free variable of the algorithm) is investigated, analyzing them both graphically and mathematically. The results obtained indicate significant potential for the practical application of MOESP in the field of system identification, offering a robust and effective approach for engineers to deal with complex modeling and control problems.