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Identifiability Implies Robust Identifiability
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
1993 (English)In: Proceedings of the 32nd IEEE Conference on Decision and Control, 1993, 567-569 vol.1 p.Conference paper, Published paper (Refereed)
Abstract [en]

In identification from a deterministic point of view an algorithm is said to be robustly convergent if the true system is regained when the noise level tends to zero. In this paper we introduce a concept close to this performance measure: robust global identifiability. A model structure, i.e. a smoothly parametrized set of models, is said to be robustly globally identifiable if there exist an identification algorithm such that the true parameters are regained when the noise level tends to zero. We show that global identifiability implies robust global identifiability when the model structure in consideration is a characteristic set of differential polynomials.

Place, publisher, year, edition, pages
1993. 567-569 vol.1 p.
Keyword [en]
Identification, Bounded disturbances, Robustly convergent, Global Identifiability, Robust global identifiablity
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-94107DOI: 10.1109/CDC.1993.325084ISBN: 0-7803-1298-8 (print)OAI: oai:DiVA.org:liu-94107DiVA: diva2:629346
Conference
32nd IEEE Conference on Decision and Control, San Antonio, TX, USA, December, 1993
Funder
Swedish Research Council
Available from: 2013-06-17 Created: 2013-06-16 Last updated: 2013-06-17

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Ljung, LennartGlad, Torkel

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