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Interactive Visualization Approaches to the Analysis of System Identification Data
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering. Linköping University, Center for Medical Image Science and Visualization (CMIV).
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering. Linköping University, Center for Medical Image Science and Visualization (CMIV). (Immersive Visualization)ORCID iD: 0000-0002-9288-5322
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, Faculty of Science & Engineering. Linköping University, Center for Medical Image Science and Visualization (CMIV).
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering. Linköping University, Center for Medical Image Science and Visualization (CMIV).
2004 (English)In: Information Visualization, 2004. INFOVIS 2004. IEEE Symposium on, 2004Conference paper (Refereed)
Abstract [en]

We propose an interactive visualization approach to finding a mathematical model for a real world process, commonly known in the field of control theory as system identification. The use of interactive visualization techniques provides the modeller with instant visual feedback which facilitates the model validation process. When working interactively with such large data sets, as are common in system identification, methods to handle this data efficiently are required. We are developing approaches based on data streaming to´meet this need.

Place, publisher, year, edition, pages
2004.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:liu:diva-119037OAI: oai:DiVA.org:liu-119037DiVA: diva2:820191
Conference
IEEE Visualization
Available from: 2015-06-11 Created: 2015-06-08 Last updated: 2015-06-30

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Johansson, JimmyLjung, PatricLindgren, DavidCooper, Matthew
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