Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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
Generation of excitation signals with prescribed autocorrelation for input and output constrained systems
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-9368-3079
2013 (English)In: 2013 American Control Conference (ACC), American Automatic Control Council , 2013, 3918-3923 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper considers the problem of realizing an input signal with a desired autocorrelation sequence satisfying both input and output constraints for the system it is to be applied to. This is a important problem in system identification. Firstly, the properties of the identified model are highly dependent on the used excitation signal during the experiment and secondly, on real processes, due to actuator saturation and safety considerations, it is important to constrain the inputs and outputs of the process. The proposed method is formulated as a nonlinear model predictive control problem. In general this corresponds to solving a non-convex optimization problem. Here we show how this can be solved in one particular case. For this special case convergence is established for generation of pseudo-white noise. The performance of the algorithm is successfully verified by simulations for a few different autocorrelation sequences, with and without input and output constraints.

Place, publisher, year, edition, pages
American Automatic Control Council , 2013. 3918-3923 p.
Series
Proceedings of the American Control Conference, ISSN 0743-1619
Keyword [en]
Binary, Identification, Design (ACC)
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-105769ISI: 000327210204018Scopus ID: 2-s2.0-84883532012ISBN: 978-147990177-7 (print)OAI: oai:DiVA.org:kth-105769DiVA: diva2:572025
Conference
2013 1st American Control Conference, ACC 2013; Washington, DC; United States; 17 June 2013 through 19 June 2013
Note

QC 20130710

Available from: 2013-07-10 Created: 2012-11-26 Last updated: 2014-01-07Bibliographically approved

Open Access in DiVA

fulltext(189 kB)462 downloads
File information
File name FULLTEXT01.pdfFile size 189 kBChecksum SHA-512
c0c1ceb9e130bda4eb047bac3eb2984d60e4c22b03103c536221527ee2c07ed54da3d3246cc8f9216a62176ebb28411e0e4f992d85a0458786252a34b6fd5030
Type fulltextMimetype application/pdf

Other links

ScopusACC13

Authority records BETA

Hjalmarsson, Håkan

Search in DiVA

By author/editor
Larsson, ChristianHägg, PerHjalmarsson, Håkan
By organisation
Automatic ControlACCESS Linnaeus Centre
Control Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 462 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

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 109 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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