L p -Adaptation: Simultaneous Design Centering and Robustness Estimation of Electronic and Biological Systems

Abstract The design of systems or models that work robustly under uncertainty and environmental fluctuations is a key challenge in both engineering and science. This is formalized in the design-centering problem, which is defined as finding a design that fulfills given specifications and has a high...

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Autores principales:	Josefine Asmus, Christian L. Müller, Ivo F. Sbalzarini
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/c5fe0f597b4044d188c88cbd2d78c63c
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spelling	oai:doaj.org-article:c5fe0f597b4044d188c88cbd2d78c63c2021-12-02T11:53:05ZL p -Adaptation: Simultaneous Design Centering and Robustness Estimation of Electronic and Biological Systems10.1038/s41598-017-03556-52045-2322https://doaj.org/article/c5fe0f597b4044d188c88cbd2d78c63c2017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-03556-5https://doaj.org/toc/2045-2322Abstract The design of systems or models that work robustly under uncertainty and environmental fluctuations is a key challenge in both engineering and science. This is formalized in the design-centering problem, which is defined as finding a design that fulfills given specifications and has a high probability of still doing so if the system parameters or the specifications fluctuate randomly. Design centering is often accompanied by the problem of quantifying the robustness of a system. Here we present a novel adaptive statistical method to simultaneously address both problems. Our method, L p -Adaptation, is inspired by the evolution of robustness in biological systems and by randomized schemes for convex volume computation. It is able to address both problems in the general, non-convex case and at low computational cost. We describe the concept and the algorithm, test it on known benchmarks, and demonstrate its real-world applicability in electronic and biological systems. In all cases, the present method outperforms the previous state of the art. This enables re-formulating optimization problems in engineering and biology as design centering problems, taking global system robustness into account.Josefine AsmusChristian L. MüllerIvo F. SbalzariniNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Josefine Asmus Christian L. Müller Ivo F. Sbalzarini L p -Adaptation: Simultaneous Design Centering and Robustness Estimation of Electronic and Biological Systems
description	Abstract The design of systems or models that work robustly under uncertainty and environmental fluctuations is a key challenge in both engineering and science. This is formalized in the design-centering problem, which is defined as finding a design that fulfills given specifications and has a high probability of still doing so if the system parameters or the specifications fluctuate randomly. Design centering is often accompanied by the problem of quantifying the robustness of a system. Here we present a novel adaptive statistical method to simultaneously address both problems. Our method, L p -Adaptation, is inspired by the evolution of robustness in biological systems and by randomized schemes for convex volume computation. It is able to address both problems in the general, non-convex case and at low computational cost. We describe the concept and the algorithm, test it on known benchmarks, and demonstrate its real-world applicability in electronic and biological systems. In all cases, the present method outperforms the previous state of the art. This enables re-formulating optimization problems in engineering and biology as design centering problems, taking global system robustness into account.
format	article
author	Josefine Asmus Christian L. Müller Ivo F. Sbalzarini
author_facet	Josefine Asmus Christian L. Müller Ivo F. Sbalzarini
author_sort	Josefine Asmus
title	L p -Adaptation: Simultaneous Design Centering and Robustness Estimation of Electronic and Biological Systems
title_short	L p -Adaptation: Simultaneous Design Centering and Robustness Estimation of Electronic and Biological Systems
title_full	L p -Adaptation: Simultaneous Design Centering and Robustness Estimation of Electronic and Biological Systems
title_fullStr	L p -Adaptation: Simultaneous Design Centering and Robustness Estimation of Electronic and Biological Systems
title_full_unstemmed	L p -Adaptation: Simultaneous Design Centering and Robustness Estimation of Electronic and Biological Systems
title_sort	l p -adaptation: simultaneous design centering and robustness estimation of electronic and biological systems
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/c5fe0f597b4044d188c88cbd2d78c63c
work_keys_str_mv	AT josefineasmus lpadaptationsimultaneousdesigncenteringandrobustnessestimationofelectronicandbiologicalsystems AT christianlmuller lpadaptationsimultaneousdesigncenteringandrobustnessestimationofelectronicandbiologicalsystems AT ivofsbalzarini lpadaptationsimultaneousdesigncenteringandrobustnessestimationofelectronicandbiologicalsystems
_version_	1718394892219056128

L p -Adaptation: Simultaneous Design Centering and Robustness Estimation of Electronic and Biological Systems

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