liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
On Indirect Input Measurements
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0003-3498-3204
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, Faculty of Science & Engineering.
2015 (English)In: Proceedings of the 17th IFAC Symposium on System Identification, 2015, 104-109 p.Conference paper (Refereed)
Abstract [en]

A common issue with many system identification problems is that the true input to the system is unknown. In this paper, a framework, based on indirect input measurements, is proposed to solve the problem when the input is partially or fully unknown, and cannot be measured directly. The approach relies on measurements that indirectly contain information about the unknown input. The resulting indirect model formulation, with both direct and indirect input measurements as inputs, can be used to estimate the desired model of the original system. Due to the similarities with closed-loop system identification, an iterative instrumental variable method is proposed to estimate the indirect model. To show the applicability of the proposed method, it is applied to data from an inverted pendulum experiment with good results. 

Place, publisher, year, edition, pages
2015. 104-109 p.
Series
, IFAC-PapersOnLine, ISSN 2405-8963 ; 48(28)
Keyword [en]
System identification, Model structure, Physical models, Instrumental variable, Closed-loop
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-122291DOI: 10.1016/j.ifacol.2015.12.108OAI: oai:DiVA.org:liu-122291DiVA: diva2:865426
Conference
17th IFAC Symposium on System Identification, Beijing, China, October 19-21, 2015
Projects
LINK-SIC
Available from: 2015-10-28 Created: 2015-10-28 Last updated: 2016-06-22

Open Access in DiVA

No full text

Other links

Publisher's full textRelated report

Search in DiVA

By author/editor
Linder, JonasEnqvist, Martin
By organisation
Automatic ControlFaculty of Science & Engineering
Control Engineering

Search outside of DiVA

GoogleGoogle Scholar
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

Altmetric score

Total: 115 hits
ReferencesLink to record
Permanent link

Direct link