Approximation of a linear dynamic process model using the frequency approach and a non-quadratic measure of the model error

• Autorzy: Krzysztof B. Janiszowski
• Języki publikacji: EN

Abstrakty

EN

The paper presents a novel approach to approximation of a linear transfer function model, based on dynamic properties represented by a frequency response, e.g., determined as a result of discrete-time identification. The approximation is derived for minimization of a non-quadratic performance index. This index can be determined as an exponent or absolute norm of an error. Two algorithms for determination of the approximation coefficients are considered, a batch processing one and a recursive scheme, based on the well-known on-line identification algorithm. The proposed approach is not sensitive to local outliers present in the original frequency response. Application of the approach and its features are presented on examples of two simple dynamic systems.

Słowa kluczowe

EN

approximation method; frequency domain; non-quadratic criterion; recursive algorithm

• Wydawca: University of Zielona Gora Press
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2014
• Tom: 24
• Numer: 1
• Strony: 99-109

Daty

wydano

2014

otrzymano

2012-12-07

poprawiono

2013-07-05

poprawiono

2013-10-12

Twórcy

autor

Krzysztof B. Janiszowski

• Institute of Automatic Control and Robotics, Warsaw University of Technology, ul. A. Boboli 8, 02-525 Warsaw, Poland

Bibliografia

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Identyfikatory

DOI

10.2478/amcs-2014-0008