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Model-on-Demand Identification for Control: An Experimental Study and Feasibility Analysis for MOD-based Predictive Control
Arizona State University, AZ, USA.
Arizona State University, AZ, USA.
Arizona State University, AZ, USA.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
2000 (English)Report (Other academic)
Abstract [en]

An experimental study of "Model-on-Demand" (MoD) identification is made on a pilot-scale brine-water mixing tank. MoD estimation is compared against semi-physical modeling techniques using identification data generated from a systematically designed m-level Pseudo Random Sequence (PRS) input. The estimated models are the basis for evaluating the usefulness of MoD-based Model Predictive Control (MPC). For this application, MoD-MPC is shown to provide better performance at high bandwidths compared to a linear MPC controller.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2000. , 6 p.
Series
LiTH-ISY-R, ISSN 1400-3902 ; 2232
Keyword [en]
Nonlinear model identification, Local modeling, Nonlinear model predictive control, Integrated identification and control
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-55668ISRN: LiTH-ISY-R-2232OAI: oai:DiVA.org:liu-55668DiVA: diva2:316402
Available from: 2010-04-30 Created: 2010-04-30 Last updated: 2014-09-12

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Model-on-Demand Identification for Control: An Experimental Study and Feasibility Analysis for MOD-based Predictive Control(435 kB)20 downloads
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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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More styles
Language
  • de-DE
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  • en-US
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  • nn-NB
  • sv-SE
  • Other locale
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Output format
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