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Prediction of time‐varying dynamic processes

M.A. Fkirin (Department of Computer Science, King Faisal University, Kingdom of Saudi Arabia)
A.F. Al‐Madhari (Department of Statistics, King Faisal University, Kingdom of Saudi Arabia)

International Journal of Quality & Reliability Management

ISSN: 0265-671X

Article publication date: 1 July 1997

348

Abstract

Proposes an optimal identification algorithm of time‐varying dynamic processes. Says it is based on applying a linear combination of the recursive least‐squares method equations. Posits that this scheme could be applied to identify and predict the ARMAX model of the on‐line desalting processes. Desalination technology is used to produce fresh water from saline sources. States that the results obtained give useful information on the physical considerations and desalting process efficiency.

Keywords

Citation

Fkirin, M.A. and Al‐Madhari, A.F. (1997), "Prediction of time‐varying dynamic processes", International Journal of Quality & Reliability Management, Vol. 14 No. 5, pp. 505-511. https://doi.org/10.1108/02656719710170729

Publisher

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MCB UP Ltd

Copyright © 1997, MCB UP Limited

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