Prediction of time‐varying dynamic processes
International Journal of Quality & Reliability Management
ISSN: 0265-671X
Article publication date: 1 July 1997
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
:MCB UP Ltd
Copyright © 1997, MCB UP Limited