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A cautious approach to robust design with model parameter uncertainty
Daniel W. Apley
, Jeongbae Kim
Industrial Engineering and Management Sciences
Research output
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Contribution to journal
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Article
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peer-review
32
Scopus citations
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Keyphrases
Adaptive Feedback Control
33%
Adverse Effects
33%
Bayesian Problems
33%
Cautious Control
33%
Covariance
33%
Data Parameters
33%
Design Objectives
33%
Design Region
33%
Empirical Process Model
33%
Mean Square Error
33%
Model Parameter Uncertainty
100%
Model Structure Uncertainty
33%
Model Uncertainty
33%
Noise Variables
33%
Numerical Optimization
33%
Output Response
33%
Output Variability
33%
Parameter Influence
66%
Parameter Uncertainty
100%
Problem Formulation
33%
Response Mean
33%
Response Variable
33%
Response Variance
33%
Robust Design
100%
Robust Design Method
66%
Variability Modeling
33%
Engineering
Controllable Input
20%
Design Objective
20%
Design of Experiments
20%
Feedback Control Systems
20%
Mean Square Error
20%
Model Parameter
100%
Model Structure
20%
Model Uncertainty
20%
Numerical Optimization
20%
Output Response
20%
Parameter Data
20%
Parameter Uncertainty
100%
Problem Formulation
20%
Robust Design
100%
Robust Design Method
20%