Recent Results on Model Validation (ロバスト制御の新展開<特集>) Recent Results on Model Validation
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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. This paper offers a survey of recent results on model validation for <i>H</i><sub>∞</sub> compatible perturbation models.<br>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.
- Journal of The Society of Instrument and Control Engineers
Journal of The Society of Instrument and Control Engineers 34(3), 176-181, 1995-03
The Society of Instrument and Control Engineers