Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/7451
Title: Seven tuning schemes for an ADALINE model to predict floor pressures in a subsonic cavity flow
Authors: Efe, Mehmet Önder
Debiasi, Marco
Yan, Peng
Özbay, Hitay
Samimy, Mohammad
Keywords: ADALINE
prediction
subsonic cavity flows
Issue Date: 2009
Publisher: Sage Publications Ltd
Abstract: This paper presents a simple yet effective one-step-ahead predictor based on an adaptive linear element (ADALINE). Several tuning schemes are studied to see whether the obtained model is consistent. The process under investigation is a subsonic cavity flow system. The experimental data obtained from the system is post-processed to obtain a useful predictor. The contribution of the paper is to demonstrate that despite the spectral richness of the observed data, a simple model with various tuning schemes can help to a satisfactory extent. Seven algorithms are studied, including the least mean squares (LMS), recursive least squares (RLS), modified Kaczmarz's algorithm (MK), stochastic approximation algorithm (SA), gradient descent (GD), Levenberg-Marquardt optimization technique (LM) and sliding mode-based tuning (SM). The model and its properties are discussed comparatively.
URI: https://doi.org/10.1177/0142331208090964
https://hdl.handle.net/20.500.11851/7451
ISSN: 0142-3312
1477-0369
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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