Closed-loop identification of multivariable processes with part of the inputs controlled
van den Hof, P.M.J.
TNO Milieu, Energie en Procesinnovatie
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.
To reference this document use:
Full-order noise models
Multivariable industrial processes
Partial closed-loop identification (PCLID) problems
Closed loop control systems
Proceedings of the 2004 American Control Conference (AAC), 30 June 2004 through 2 July 2004, Boston, MA, 3, 2830-2835