An Innovative Approach for Optimal Time Delay Estimation in System Identification

Autor(es)

Oliveira Alves, Vitor Alex ; de Godoy, Rodrigo Juliani C. ; Garcia, Claudio

• Tipo de documento: Artigo Científico
• Fonte: JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS; v. 28, n. 4, p. 429-443, AUG 2017.
• Citações Web of Science: 0

Resumo

In this study, a novel strategy for time delay estimation (TDE) is proposed. The method, OTDE-Gen, uses a genetic algorithm to find the best time delay, so that the identified model presents the best performance. OTDE-Gen also allows to evaluate different model structures and distinct orders for processes of any dimension. A brief review of classical TDE techniques is presented, and the TDE problem is further analyzed from a System Identification perspective, through examples that illustrate and quantify how the time delay affects the model performance, and also how the identification setup (signal-to-noise ratio, model structure and order) affects the choice of the best time delay. The OTDE-Gen and the classical TDE methods are tested in a benchmark and performance comparisons are carried out. (AU)

• Processo FAPESP: 14/50363-5 - Plataforma computacional integrada para identificação de sistemas
• Beneficiário: Rodrigo Juliani Correa de Godoy
• Linha de fomento: Auxílio à Pesquisa - Pesquisa Inovativa em Pequenas Empresas - PIPE