1997 (English)In: Proceedings of the First European Conference on Signal Analysis and Prediction, 1997, 41-47 p.Conference paper (Refereed)
In this contribution we give an overview and discussion of the basic steps of System Identification. The four main ingredients of the process that takes us from observed data to a validated model are: (1) The data itself, (2) The set of candidate models, (3) The criterion of fit and (4) The validation procedure. We discuss how these ingredients can be blended to a useful mix for model-building in practice.
Place, publisher, year, edition, pages
1997. 41-47 p.
System identification, Validation, models
IdentifiersURN: urn:nbn:se:liu:diva-93803ISBN: 8070802820OAI: oai:DiVA.org:liu-93803DiVA: diva2:626744
First European Conference on Signal Analysis and Prediction, Praque, Czech Republic, June, 1997