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A new approach to reduced-order modelling

Warwick, K. (1984) A new approach to reduced-order modelling. IEE Proceedings D: Control Theory and Applications, 131 (2). pp. 74-78. ISSN 0143-7054

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Abstract/Summary

An error polynomial is defined, the coefficients of which indicate the difference at any instant between a system and a model of lower order approximating the system. It is shown how Markov parameters and time series proportionals of the model can be matched with those of the system by setting error polynomial coefficients to zero. Also discussed is the way in which the error between system and model can be considered as being a filtered form of an error input function specified by means of model parameter selection.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Science > School of Systems Engineering
ID Code:21735
Uncontrolled Keywords:Markov parameters, control system analysis, discrete time systems, error polynomial, reduced-order modelling, time series proportionals, transfer functions
Additional Information:The DOI for this item is 10.1049/ip-d:19840012. This will not work as a link, but could be entered into a search engine.
Publisher:IET

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