Title
Closed-loop identification of multivariable processes with part of the inputs controlled
Author
Leskens, M.
van den Hof, P.M.J.
TNO Milieu, Energie en Procesinnovatie
Publication year
2004
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.
Subject
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
To reference this document use:
http://resolver.tudelft.nl/uuid:9687ebd2-763a-41d0-afdf-642ef654acc6
TNO identifier
238099
ISSN
0743-1619
Source
Proceedings of the 2004 American Control Conference (AAC), 30 June 2004 through 2 July 2004, Boston, MA, 3, 2830-2835
Document type
conference paper