An Innovative Approach for Optimal Time Delay Estimation in System Identification

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

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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

An Innovative Approach for Optimal Time Delay Estimation in System Identification

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Author(s):	Oliveira Alves, Vitor Alex ; de Godoy, Rodrigo Juliani C. ; Garcia, Claudio Total Authors: 3
Document type:	Journal article
Source:	JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS; v. 28, n. 4, p. 429-443, AUG 2017.
Web of Science Citations:	0
Abstract
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)

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