onr:"swepub:oai:DiVA.org:kth-313009"
Search: onr:"swepub:oai:DiVA.org:kth-313009" >
- 1 of
- Previous record
- To hitlist
Abstract
Subject headings
Close
- The Simplified Refined Instrumental Variable method for Continuous-time systems (SRIVC) is one of the most popular direct methods for linear continuous-time system identification. Only recently, some optimal asymptotic properties of this method have been proven. Here we provide a comprehensive analysis of the convergence of the SRIVC method for over-parameterized models. The results we derive are used to discuss practical aspects of the method and to analyze the behavior of the normalized error variance norm, which is a central part in Young’s Information Criterion for model order selection. The theoretical findings are validated through simulation examples.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
Keyword
- System identification
- Continuous-time systems
- Instrumental variable method
- Model order selection
Publication and Content Type
- ref (subject category)
- art (subject category)
To the university's database
- 1 of
- Previous record
- To hitlist
Find more in SwePub
- By the author/editor
- González, Rodrig ...
- Rojas, Cristian ...
- Pan, Siqi
- Welsh, James S.
- About the subject
-
- ENGINEERING AND TECHNOLOGY
- ENGINEERING AND ...
- and Electrical Engin ...
- and Control Engineer ...
- Articles in the publication
- Automatica
- By the university
- Royal Institute of Technology
Search outside SwePub
- Extend your search to:
- Google Book Search
- Google Scholar
Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.
- Copyright © LIBRIS - National Library Systems
- LIBRIS.kb.se
