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Simplification of Models

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Abstract

The principal purpose of simplifying a model is to obtain it in a less complicated form, which makes the analysis of its properties easier, faster and cheaper. The simplification procedure leads either to lowering the model order, usually connected with changes in the model parameters, or to adopting a different form of the model with its number of parameters reduced. It is assumed that the simplified models have to fulfil a chosen objective function, which determines the application of the corresponding simplification method. The most popular objective functions deal with

Keywords

Weight Function Impulse Response Orthogonal Polynomial Chebyshev Polynomial Primary Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  1. 1.Faculty of Electrical and Computer Engineering Institute of Electrical MetrologyCracow University of TechnologyKrakowPoland

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