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Please use this identifier to cite or link to this item: http://hdl.handle.net/10373/750

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Title: Shift-and-scale model reduction: an alternative stability-preserving approach
Authors: Lucas, T. Nigel
Affiliation: University of Abertay Dundee. School of Computing & Engineering Systems
Keywords: Order reduction
Stability
Least-squares Padé algorithm
Markov parameters
Issue Date: 2004
Publisher: Sage Publications
Type: Journal Article
Refereed: peer-reviewed
Rights: This is the author's final version of this article. Published version (c)Sage Publications, available from http://journals.pepublishing.com/content/p71k21607480r814/?p=f1e5f9bd5c934aa387cc4a500b6360a0&pi=51
Citation: Lucas, T.N. 2004. Shift-and-scale model reduction: an alternative stability-preserving approach. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering. 218(3): pp.237-243. Available from http://journals.pepublishing.com/content/p71k21607480r814/?p=f1e5f9bd5c934aa387cc4a500b6360a0&pi=51
Abstract: A new stability-preserving model order-reduction method is presented for continuous-time systems. It makes use of the relatively new idea of transformed whole-system parameter matching for calculating the poles of the reduced-order transfer function. This has the advantage of using more of the system information than traditional methods in the approximation of the poles. The method is seen to be flexible and computationally attractive, relying only on readily available algorithms. It is based on a shift-and-scale transformation of the transfer function before applying the order-reduction process. Further, it is shown to be a viable alternative to existing stability-preserving techniques. Some examples illustrate the method.
URI: http://hdl.handle.net/10373/750
ISSN: 0959-6518
Appears in Collections:Computing & Engineering Systems Collection

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