Symbolic manipulation techniques for low order LFT-based parametric uncertainty modelling

Authors: Hecker, S.; Varga, A.

Source: International Journal of Control, Volume 79, Number 11, November 2006 , pp. 1485-1494(10)

Publisher: Taylor and Francis Ltd

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Abstract:

Symbolic techniques are very useful in obtaining low order LFT-representations of linear parametric models. The main role of symbolic manipulations is to find, via suitable pre-processing steps, equivalent representations of rationally dependent parametric matrices, which automatically lead to lower order LFT-representations. In this paper we give an overview of symbolic processing methods and we propose some new techniques and several enhancements of existing methods. All proposed methods are implemented in the latest version of the LFR-toolbox and served to illustrate the strengths of symbolic processing in obtaining low order LFT-representations of two challenging parametric model examples.

Document Type: Research article

DOI: http://dx.doi.org/10.1080/00207170600725644

Affiliations: 1: German Aerospace Center, DLR-Oberpfaffenhofen, Institute of Robotics and Mechatronics, D-82234 Wessling, Germany

Publication date: 2006-11-01

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