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Enhanced LFR-Toolbox for MATLAB

Hecker, Simon and Varga, Andras and Magni, Jean-Francois (2004) Enhanced LFR-Toolbox for MATLAB. In: IEEE Conference on Control Applications. International Symposium on Computer Aided Control Systems Design, 2004, Taipeh, Taiwan.

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Abstract

We describe recent developments and enhancements of the LFR-Toolbox for MATLAB for building LFT-based uncertainty models. A major development is the new LFT-object definition supporting a large class of uncertainty descriptions: continuous- and descrete-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-models and the user friendlyness of manipulation of LFR-descriptions have been highly increased. Significant enhancements of the computational effiency and of numerical accuracy have been achieved by employing efficient and numerically robust Fortran implementations of order reduction tools via mex-function interfaces. The new enhancements in conjunction with improved symbolical preprocessing lead generally to a faster generation of LFT-models with significant lower orders.

Document Type:Conference or Workshop Item (Speech, Paper)
Title:Enhanced LFR-Toolbox for MATLAB
Authors:
AuthorsInstitution or Email of Authors
Hecker, SimonUNSPECIFIED
Varga, AndrasUNSPECIFIED
Magni, Jean-FrancoisUNSPECIFIED
Date:2004
Journal or Publication Title:IEEE Conference on Control Applications
Refereed publication:Yes
In ISI Web of Science:No
Status:Published
Keywords:-
Event Title:International Symposium on Computer Aided Control Systems Design
Event Location:Taipeh, Taiwan
Event Type:international Conference
Event Dates:2004
Organizer:IEEE
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Aircraft Research
DLR - Research area:Aeronautics
DLR - Program:L AR - Aircraft Research
DLR - Research theme (Project):L - Flexible Aircraft (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Robotics and Mechatronics > System Dynamics and Control (former Control Design Engineering)
Deposited By: Monika Klauer
Deposited On:13 Sep 2007
Last Modified:12 Dec 2013 20:22

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