Model reduction by an extended complex curve-fitting approach

Author:

Gong M.1,Murray-Smith D.J.1

Affiliation:

1. Department of Electronics and Electrical Engineering, Rankine Building, University of Glasgow, Glasgow G12 8QQ

Abstract

A method of model reduction is presented which is based upon a complex curve-fitting technique and is applicable to multi-input multi-output models. This approach involves the minimisation of the weighted sum of the squares of differences between the frequency response of the known high-order system and the approximating reduced-order system. It represents an extension of techniques originally developed for the single-input single-output case.

Publisher

SAGE Publications

Subject

Instrumentation

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 multi-point parameterized model reduction for large parametric systems by using Krylov-subspace techniques;Transactions of the Institute of Measurement and Control;2017-03-15

2. Methods for the Invalidation/Validation of Simulation Models;Testing and Validation of Computer Simulation Models;2015

3. Issues of model quality and the validation of dynamic models;Modelling and Simulation of Integrated Systems in Engineering;2012

4. Global Structure Evolution and Local Parameter Learning for Control System Model Reductions;Evolutionary Algorithms in Engineering Applications;1997

5. Model reduction with time delay combining the least-squares method with the genetic algorithm;IEE Proceedings - Control Theory and Applications;1996-05-01

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