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Estimation of Residence Time in Continuous Flow Systems with Dynamics
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
1994 (English)In: Proceedings of the 10th IFAC Symposium on System Identification, 1994, Vol. 3, 401-406 p.Conference paper, Published paper (Refereed)
Abstract [en]

A method for estimation of residence time in continuous flow systems with varying dynamics is presented. By resampling, i.e., choosing time instants different from the given sampling instants, and interpolation between measured data points, we obtain a continuous flow system with constant residence time expressed in the new resampled time vector. We assume the flow patterns in the systems are invariant. The new data set is then used for identification of parameters in a chosen model structure. From the identified model, the residence time is readily calculated and a procedure for that is briefly described. The presented method is readily extended to enable use in recursive identification. In that case, however, as an improvement of tracking ability of an ordinary recursive routine.

Place, publisher, year, edition, pages
1994. Vol. 3, 401-406 p.
Keyword [en]
System identification, Residence time estimation, Time-varying systems, Variable flow and/or volume, Continuous flow systems, Recursive identification
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-94123OAI: oai:DiVA.org:liu-94123DiVA: diva2:629313
Conference
10th IFAC Symposium on System Identification, Copenhagen, Denmark, July, 1994
Available from: 2013-06-17 Created: 2013-06-16 Last updated: 2013-09-29

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