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Closed-loop identification of multivariable processes with part of the inputs controlled

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Author: Leskens, M. · Hof, P.M.J. van den
Type:article
Date:2004
Institution: TNO Milieu, Energie en Procesinnovatie
Source:Proceedings of the 2004 American Control Conference (AAC), 30 June 2004 through 2 July 2004, Boston, MA, 3, 2830-2835
Identifier: 238099
Keywords: Environment · Control equipment · Data acquisition · Error analysis · Mathematical models · Multivariable systems · Parameter estimation · Transfer functions · Full-order noise models · Multivariable industrial processes · Partial closed-loop identification (PCLID) problems · Closed loop control systems

Abstract

In many multivariable industrial processes a subset of the available input signals is being controlled. In this paper it is analyzed in which sense the resulting partial closed-loop 1 identification problem is actually a full closed-loop problem, or whether one can benefit from the presence of noncontrolled inputs to simplify the identification problem. The analysis focusses on the bias properties of the plant estimate when applying the direct method of prediction error identification, and the possibilities to identify (parts of) the plant model without the need of simultaneously estimating full-order noise models.