| Texto completo | |
| Autor(es): |
Oliveira Alves, Vitor Alex
;
de Godoy, Rodrigo Juliani C.
;
Garcia, Claudio
Número total de Autores: 3
|
| 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 |
| Modalidade de apoio: | Auxílio à Pesquisa - Pesquisa Inovativa em Pequenas Empresas - PIPE |