Probabilistic robust design of control systems for high-fidelity cyber-physical testing

DOI10.1016/j.automatica.2018.11.040zbMath1415.93094OpenAlexW2905441366WikidataQ128176728 ScholiaQ128176728MaRDI QIDQ1737701

Stefano Marelli, Asgeir J. Sørensen, Thomas Sauder

Publication date: 24 April 2019

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2018.11.040

zbMATH Keywords

fidelityprobabilistic robustnessadaptive krigingartefactscyber-physical empirical method

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Design techniques (robust design, computer-aided design, etc.) (93B51)

Uses Software

• AK-MCS
• UQLab

Cites Work

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• Information Theory and Statistical Mechanics
• POLYNOMIAL-CHAOS-BASED KRIGING
• A Measure of Asymptotic Efficiency for Tests of a Hypothesis Based on the sum of Observations

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