A decoupled design approach for complex systems under lack-of-knowledge uncertainty-Reference-Cited by-同舟云学术

A decoupled design approach for complex systems under lack-of-knowledge uncertainty

Published:2020-04 Issue: Volume:119 Page:408-420
ISSN:0888-613X
Container-title:International Journal of Approximate Reasoning
language:en
Short-container-title:International Journal of Approximate Reasoning

Author:

Daub Marco,Duddeck Fabian

Funder

DFG

Publisher

Elsevier BV

Subject

Applied Mathematics,Artificial Intelligence,Theoretical Computer Science,Software

Reference22 articles.

1. Robust optimization – a comprehensive survey;Beyer;Comput. Methods Appl. Mech. Eng.,2007

2. Complex systems design under non-reducible lack-of-knowledge uncertainties;Daub,2018

3. Worst-case solution spaces for systems design under uncertainties;Daub,2018

4. Maximizing flexibility for complex systems design to compensate lack-of-knowledge uncertainty;Daub;ASCE-ASME J. Risk Uncertain. Eng. Syst., Part B: Mech. Eng.,2019

5. Optimizing component solution spaces for systems design;Daub;Struct. Multidiscip. Optim.,2020

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3. Interval methods for lack-of-knowledge uncertainty in crash analysis;Mechanical Systems and Signal Processing;2022-04

4. A Hyper-Ellipsoid Approach for Inverse Lack-of-Knowledge Uncertainty Quantification;ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg;2021-04-23