A Unifying Theory of Least-Squares Padé Model Reduction Methods

Author:

Smith I D1,Lucas T N1

Affiliation:

1. Division of Mathematical Sciences, University of Abertay Dundee, Dundee, Scotland

Abstract

The apparently different approaches of least-squares parameter-matching Podé model reduction methods are shown to be related via a unifying theory. From the formulation it is possible to show several interesting features of the least-squares approach which lead to a fuller understanding of exactly how the reduced model approximates the system. An error index is derived for the general case and it is shown that a range of system parameter preservation options are available to the user. A numerical example illustrates the main points of the paper.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Control and Systems Engineering

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A novel reduced order modeling of interval system using soft computing optimization approach;Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering;2018-04-17

2. Optimal least squares model approximation for large-scale linear discrete-time systems;Transactions of the Institute of Measurement and Control;2016-05-20

3. An adaptive cascade compensator for a wide class of stable minimum or nonminimum phase plants through time moment estimation;International Journal of General Systems;2003-02

4. Flexible time-response matching in discrete model reduction;Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering;2000-08-01

5. Discrete-time least-squares Padé order reduction: A stability preserving method;Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering;1998-02-01

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