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Please use this identifier to cite or link to this item: http://hdl.handle.net/2282/388

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Title: On primary output estimation by use of secondary measurements as inputsignals in system identification
Authors: Ergon, Rolf
Issue Date: 1999
Publishers version: http://dx.doi.org/10.1109/9.754826
Citation: IEEE transactions on automatic control 44(1999), No. 4, p. 821-825
Status: Peer reviewed
Abstract: In many cases, vital output variables in, e.g., industrial processes cannot be measured online. It is then of interest to estimate these primary variables from manipulated and measured inputs and the secondary output measurements that are available. In order to identify an optimal estimator from input-output data, a suitable model structure must be chosen. The paper compares use of ARMAX and output error (OE) structures in prediction error identification methods, theoretically and through simulations.
Keywords: Kontrollteori
Systemidentifisering
Estimering
Description: ©1999 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
URI: http://hdl.handle.net/2282/388
Appears in Collections:Institutt for elektro, IT og kybernetikk

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