Please use this identifier to cite or link to this item: https://doi.org/10.1177/0142331208090964
Title: Seven tuning schemes for an ADALINE model to predict floor pressures in a subsonic cavity flow
Authors: Efe, M.Ö.
Debiasi, M. 
Peng Yan
Özbay, H.
Samimy, M.
Keywords: ADALINE
Prediction
Subsonic cavity flows
Issue Date: Feb-2009
Citation: Efe, M.Ö., Debiasi, M., Peng Yan, Özbay, H., Samimy, M. (2009-02). Seven tuning schemes for an ADALINE model to predict floor pressures in a subsonic cavity flow. Transactions of the Institute of Measurement and Control 31 (1) : 97-112. ScholarBank@NUS Repository. https://doi.org/10.1177/0142331208090964
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), Levenbergĝ€ "Marquardt optimization technique (LM) and sliding mode-based tuning (SM). The model and its properties are discussed comparatively. © 2009 The Institute of Measurement and Control.
Source Title: Transactions of the Institute of Measurement and Control
URI: http://scholarbank.nus.edu.sg/handle/10635/117154
ISSN: 01423312
DOI: 10.1177/0142331208090964
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