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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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Abstract

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.

Document Type:Contribution to a Collection
Title:Worst-case parameter search based clearance using parallel nonlinear programming methods
Authors:
AuthorsInstitution or Email of Authors
Joos, Hans-Dieterdieter.joos@dlr.de
Date:2011
Journal or Publication Title:Optimization based Clearance of Flight Control Laws
Refereed publication:Yes
In ISI Web of Science:No
Volume:416
Page Range:pp. 149-159
Editors:
EditorsEmail
Varga, Andreasandreas.varga@dlr.de
Hansson, Andershansson@isy.liu.se
Puyou, Guilhemguilhem.puyou@airbus.com
Publisher:Springer
Series Name:Lecture notes in control and information sciences
ISSN:0170-8643
ISBN:978-3-642-22626-7
Status:Published
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
DLR - Research area:Aeronautics
DLR - Program:L AR - Aircraft Research
DLR - Research theme (Project):L - Systems & Cabin
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Robotics and Mechatronics > System Dynamics and Control (former Control Design Engineering)
Deposited By: Hans-Dieter Joos
Deposited On:25 Jan 2012 16:35
Last Modified:30 Jan 2012 10:23

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