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

Direct link
System Identification, Model Simplification and the Design Objective
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
1987 (English)Report (Other academic)
Abstract [en]

Models and model quality are prime concerns for most design issues in control and system analysis. The success of a simulation study hinges upon the reliability of the model used. In this contribution we discuss how to build mathematical models that given certain constraints, are of optimum quality for a prespecified application. We then taken into account the influence of both bias errors and random errors on the model. It turns out that for a fairly broad class of identification methods in the prediction error family, the optimal choices of design variables can be given in an explicit form.

Place, publisher, year, edition, pages
Linköping: Linköping University , 1987. , 6 p.
LiTH-ISY-I, ISSN 8765-4321 ; 878
Keyword [en]
Model quality, System analysis, Simulation, System identification
National Category
Control Engineering
URN: urn:nbn:se:liu:diva-104162OAI: diva2:694892
Available from: 2014-02-08 Created: 2014-02-08 Last updated: 2014-02-08

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Ljung, Lennart
By organisation
Automatic ControlThe Institute of Technology
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

Total: 13 hits
ReferencesLink to record
Permanent link

Direct link