Shapley Effects as a Global Sensitivity Metric for Robust Design and Control

ABSTRACT This paper introduces a novel robust design approach aimed at reducing the sensitivity of a target metric to parameter uncertainties. Using Shapley effects from game theory as a global sensitivity proxy, we analyze a clamped‐free Euler‐Bernoulli beam with two uncertain mass positions. The first case study reduces sensitivity of the second mode frequency to mass location uncertainty and is validated experimentally on a gantry‐suspended beam. In the second case, a robust controller minimizes the Shapley effect of residual energy on mass location uncertainty. Our approach significantly reduces average residual energy compared to traditional Zero Vibration Derivative Input Shapers, as confirmed by experiments.

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Publication Details

Journal
Optimal Control Applications and Methods
Published
2025-06-29
DOI
https://doi.org/10.1002/oca.3323
Citations
1
Primary Topic
Probabilistic and Robust Engineering Design
Type
article
Field-Weighted Citation Impact
1.40

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article

Shapley Effects as a Global Sensitivity Metric for Robust Design and Control

Adrian Stein, Tarunraj Singh
1 citations
Optimal Control Applications and Methods
Probabilistic and Robust Engineering Design
1.40
article

Shapley Effects as a Global Sensitivity Metric for Robust Design and Control

Adrian Stein, Tarunraj Singh
article en
1 citations

Abstract

ABSTRACT This paper introduces a novel robust design approach aimed at reducing the sensitivity of a target metric to parameter uncertainties. Using Shapley effects from game theory as a global sensitivity proxy, we analyze a clamped‐free Euler‐Bernoulli beam with two uncertain mass positions. The first case study reduces sensitivity of the second mode frequency to mass location uncertainty and is validated experimentally on a gantry‐suspended beam. In the second case, a robust controller minimizes the Shapley effect of residual energy on mass location uncertainty. Our approach significantly reduces average residual energy compared to traditional Zero Vibration Derivative Input Shapers, as confirmed by experiments.

Optimal Control Applications and MethodsVol. 46(5)
Louisiana State University (US), University at Buffalo, State University of New York (US)
National Science Foundation of Sri Lanka
Openalex Percentile: Top 15%
Probabilistic and Robust Engineering Design
1.40
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