Open access
Date
1997-07Type
- Conference Paper
ETH Bibliography
no
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Abstract
Model validation is a means of assessing model quality with respect to experimental data. In a robust control context this amounts to determining whether or not a perturbation model is consistent with observed data. T his paper offers a survey of recent results on model validation for H-infinity compatible perturbation models. Several model paradigms and experiment frameworks are considered. The first is a frequency-domain setting for the data. More recent results deal with discrete-time models and time-domain experimental data. The most relevant framework , continuous-time systems and models, with discrete-time sampled data, is dealt with last. Each of the model invalidation tests offered involve tractable convex optimization problems. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000540179Publication status
publishedExternal links
Book title
IFAC Symposium on System Identification (SYSID'97)Journal / series
IFAC Proceedings VolumesVolume
Pages / Article No.
Publisher
ElsevierEvent
Organisational unit
08814 - Smith, Roy (Tit.-Prof.)
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ETH Bibliography
no
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