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Prediction Error based Interaction Measure for Control Configuration Selection in Linear and Nonlinear Systems
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-9992-7791
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-5888-8626
2017 (English)Conference paper, Oral presentation only (Refereed)
Abstract [en]

This paper introduces an interaction measure, which can be applied both to linear and non-linear systems. The measure is based on the prediction error of the structurally reduced model and is denoted Prediction Error Index Array (PEIA). The linear PEIA is constructed as an extension of previous results using the $\mathcal{H}_2$-norm. The non-linear PEIA is an extension for systems represented by a model in the form of Volterra series. Additionally, the paper gives an interpretation of both linear and nonlinear PEIA as the fraction of the power of the output signal which is expressed by the reduced model resulting from  the  control configuration selection. Several examples are used to illustrate and compare the interaction measure with established methodologies, like the relative gain array, participation matrix, and Hankel Interaction Index array.

Place, publisher, year, edition, pages
2017.
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-66326OAI: oai:DiVA.org:ltu-66326DiVA: diva2:1153600
Conference
10th IFAC International Symposium onAdvanced Control of Chemical Processes, (ADCHEM 2018), Shenyang, Liaoning, China, July 25 - 27, 2018
Projects
OPTiWARPDISIRE
Available from: 2017-10-31 Created: 2017-10-31 Last updated: 2017-11-02Bibliographically approved

Open Access in DiVA

fulltext(508 kB)17 downloads
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Castaño Arranz, MiguelBirk, Wolfgang
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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
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  • vancouver
  • Other style
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Language
  • de-DE
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Output format
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