NDLI: Quality Assessment of Models for Iterative/Adaptive Control

Content Provider	IEEE Xplore Digital Library
Author	Balaguer, P. Vilanova, R.
Copyright Year	2006
Description	Author affiliation: Dept. of Telecommun. & Syst. Eng., Autonomous Univ. of Barcelona (Balaguer, P.; Vilanova, R.)
Abstract	This paper deals with the problem of validating a model within the framework of iterative identification and control design. Regarding model validation, iterative control arises the following requirements: i) Is it possible to improve an existing model? Are the data informative enough to attempt a new identification? ii) How can the model be improved? Is the model order/structure rich enough to capture the interesting features of the plant? iii) How authoritative can be the controller designed? However classical validation methods "accept" or "reject" a model as a valid representation of a plant and can not answer the required questions when applied on iterative identification and control schemes (e.g. in iterative identification and control approaches a low order model is fitted to capture the frequency range of interest for control. Hence undermodelling is always present. This fact makes it difficult to apply traditional model validation schemes.). We introduce a new validation procedure to iterative control which gives answer to the above questions. The validation procedure is more informative due to its frequency information content. Moreover the validation procedure is no longer a static test but a dynamic one which gives guidelines during the iterative identification and control procedure
Starting Page	169
Ending Page	174
File Size	188160
Page Count	6
File Format	PDF
ISBN	1424401712
DOI	10.1109/CDC.2006.377513
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-12-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Quality assessment Adaptive control Frequency Iterative methods Control design Telecommunication control Testing Stochastic resonance Design engineering Systems engineering and theory
Content Type	Text
Resource Type	Article

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