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

conference paper
2004
Leskens, M.

Hof, P.M.J. van den
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.
Topics
Control equipmentData acquisitionError analysisMathematical modelsMultivariable systemsParameter estimationTransfer functionsFull-order noise modelsMultivariable industrial processesPartial closed-loop identification (PCLID) problemsClosed loop control systems
TNO Identifier
238099
Repository link
https://resolver.tno.nl/uuid:9687ebd2-763a-41d0-afdf-642ef654acc6
ISSN
07431619
Source title
Proceedings of the 2004 American Control Conference (AAC), 30 June 2004 through 2 July 2004, Boston, MA
Pages
2830-2835
Files
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