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Worst-case parameter search based clearance using parallel nonlinear programming methods

Joos, Hans-Dieter (2011) Worst-case parameter search based clearance using parallel nonlinear programming methods. In: Optimization based Clearance of Flight Control Laws Lecture notes in control and information sciences, 416. Springer. pp. 149-159. ISBN 978-3-642-22626-7. ISSN 0170-8643.

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This chapter presents the theoretical background for several enhancements of the worst-case parameter search based clearance of flight control laws. The worst case search method aims to find combinations of parameters and flight conditions for which the clearance criteria are mostly violated or poorly satisfied. The two main aspects for the proposed enhancements are: (1) increasing the reliability of clearance by the application of global optimization methods in conjunction with established simulation and analysis tools; and (2) increasing the efficiency of clearance by applying parallel computation techniques.

Item URL in elib:https://elib.dlr.de/74530/
Document Type:Contribution to a Collection
Title:Worst-case parameter search based clearance using parallel nonlinear programming methods
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Joos, Hans-Dieterdieter.joos (at) dlr.deUNSPECIFIED
Journal or Publication Title:Optimization based Clearance of Flight Control Laws
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 149-159
EditorsEmailEditor's ORCID iD
Varga, Andreasandreas.varga@dlr.deUNSPECIFIED
Hansson, Andershansson@isy.liu.seUNSPECIFIED
Puyou, Guilhemguilhem.puyou@airbus.comUNSPECIFIED
Series Name:Lecture notes in control and information sciences
Keywords:worst-case search, global optimization,distributed computing, robustness analysis, design validation & verification
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Aircraft Research (old)
DLR - Research area:Aeronautics
DLR - Program:L AR - Aircraft Research
DLR - Research theme (Project):L - Systems & Cabin (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Robotics and Mechatronics (until 2012) > System Dynamics and Control (former Control Design Engineering)
Deposited By: Joos, Hans-Dieter
Deposited On:25 Jan 2012 16:35
Last Modified:30 Jan 2012 10:23

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