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Enhanced LFR-toolbox for MATLAB

Hecker, Simon and Varga, Andras and Magni, Jean-Francois (2005) Enhanced LFR-toolbox for MATLAB. Aerospace Science and Technology, 9, pp. 173-180.

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Abstract

We describe recent developments and enhancements of the LFR-toolbox for Matlab for building LFT-based uncertainty models and for LFT-based gain scheduling. A major development is the new LFT-object definition supporting a large class of uncertainty descriptions: continuous- and discrete-time uncertain models, regular and singular parametric expressions, more general uncertainty blocks (nonlinear, time-varying, etc.). By associating names to uncertainty blocks the reusability of generated LFT-representations and the user friendliness of manipulation of LFR-descriptions have been highly increased. Significant enhancements of the computational efficiency and of numerical accuracy have been achieved by employing efficient and numerically robust Fortran implementations of order reduction tools via mexfunction interfaces. The new enhancements in conjunction with improved symbolical preprocessing lead generally to a faster generation of LFT-representations with significantly lower orders.

Item URL in elib:https://elib.dlr.de/12291/
Document Type:Article
Additional Information:LIDO-Berichtsjahr=2005,
Title:Enhanced LFR-toolbox for MATLAB
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Hecker, SimonUNSPECIFIEDUNSPECIFIED
Varga, AndrasUNSPECIFIEDUNSPECIFIED
Magni, Jean-FrancoisONERAUNSPECIFIED
Date:June 2005
Journal or Publication Title:Aerospace Science and Technology
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:9
Page Range:pp. 173-180
Status:Published
Keywords:Robust control; Linear fractional transformation (LFT); Matlab toolbox; Linear fractional representation (LFR)
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:other
HGF - Program Themes:other
DLR - Research area:Aeronautics
DLR - Program:L - no assignment
DLR - Research theme (Project):L - no assignment (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Robotics and Mechatronics (until 2012) > System Dynamics and Control (former Control Design Engineering)
Deposited By: DLR-Beauftragter, elib
Deposited On:20 Sep 2007
Last Modified:31 Jul 2019 19:15

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