Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
On identification of cascade systems
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre. (System Identification Group)ORCID iD: 0000-0002-1927-1690
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-9368-3079
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-3672-5316
2008 (English)In: 17th World Congress, International Federation of Automatic Control, IFAC, 2008, Vol. 17, no 1 PART 1Conference paper, Published paper (Refereed)
Abstract [en]

The objective of this contribution is to discuss some aspects of system identification of cascade systems. Models of such systems are important in for example cascade control applications. We will restrict our attention to systems with one input signal and two output signals. First, we will analyze some fundamental limitations regarding the statistical properties of such estimates, and in particular why it can be difficult to identify cascade systems where the sub-transfer functions are close to each other. We will then show how an unstructured SIMO estimate can be used to find a cascade system model using an indirect prediction error method or balanced model reduction.

Place, publisher, year, edition, pages
2008. Vol. 17, no 1 PART 1
Keyword [en]
Error quantification, Input and excitation design, Subspace methods, Balanced model reduction, Cascade control, Cascade systems, Fundamental limitations, Input signal, Output signal, Prediction error method, Statistical properties, System identifications, Model structures, Cascade control systems
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-55394OAI: oai:DiVA.org:kth-55394DiVA: diva2:471641
Conference
17th World Congress, International Federation of Automatic Control, IFAC. Seoul. 6 July 2008 - 11 July 2008
Note

QC 20120104

Available from: 2012-01-27 Created: 2012-01-02 Last updated: 2017-06-09Bibliographically approved

Open Access in DiVA

IR-EE-RT 2008:033(124 kB)355 downloads
File information
File name FULLTEXT01.pdfFile size 124 kBChecksum SHA-512
1b3995d0caf32880c532ac025ee2a100ed95e498a828f77b5c68faea3b7b2afa59e70a28c60ebb1aad1e91a86831d7c9c85cdbc90c41cb406c944fb14868e365
Type fulltextMimetype application/pdf

Authority records BETA

Wahlberg, BoHjalmarsson, HåkanMårtensson, Jonas

Search in DiVA

By author/editor
Wahlberg, BoHjalmarsson, HåkanMårtensson, Jonas
By organisation
Automatic ControlACCESS Linnaeus Centre
Control Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 355 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 132 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf