Frequency-dependent approach to model validation for iterative identification and control schemes
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Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7034
comunitat-uji-handle3:10234/8619
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INVESTIGACIONMetadatos
Título
Frequency-dependent approach to model validation for iterative identification and control schemesFecha de publicación
2009Editor
Institution of Engineering and TechnologyISSN
1751-8644Cita bibliográfica
BALAGUER, P.; VILANOVA, R. Frequency-dependent approach to model validation for iterative identification and control schemes. IET Control Theory & Applications, 2009, vol. 3, no 1, p. 98-109.Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://www.semanticscholar.org/paper/Frequency-dependent-approach-to-model-vali ...Palabras clave / Materias
Resumen
Classical validation methods “accept” or “reject” a model as a valid representation of a plant for
some intended use. However this binary result has several problems as firstly, models are neither good
nor bad but ... [+]
Classical validation methods “accept” or “reject” a model as a valid representation of a plant for
some intended use. However this binary result has several problems as firstly, models are neither good
nor bad but have a certain valid frequency range and secondly the procedure gives no insight into
why the model is not useful or how to improve the model. Moreover within the framework of iterative
identification and control design the model validation issue arises the following requirements: i) Is it
possible to improve an existing model?. ii) How can the model be improved?. iii) How authoritative can
be the designed controller?. These facts question the suitability of traditional model validation schemes
in general and their suitability for iterative control schemes in particular. We present a new validation
procedure that overtakes these problems by performing the model validation frequency dependent. The
validation procedure is then more informative due to its frequency information content. As a result the
same model can be validated for some frequency band and invalidated for a distinct frequency range [-]
Publicado en
IET Control Theory and Applications, 2009, v. 3, n. 1Derechos de acceso
© Institution of Engineering and Technology
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