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• W2131513089 startingPage "1453" @default.
• W2131513089 abstract "This paper provides a new framework for analyzing white noise disturbances in linear systems; rather than the usual stochastic approach, noise signals are described as elements in sets, and their effect is analyzed from a worst-case perspective. The paper studies how these sets must be chosen to have adequate properties for system response in the worst-case, statistics consistent with the stochastic point of view, and simple descriptions that allow for tractable worst-case analysis. The method is demonstrated by considering its implications in two problems: rejection of white noise signals in the presence of system uncertainty and worst-case system identification." @default.
• W2131513089 created "2016-06-24" @default.
• W2131513089 creator A5072319687 @default.
• W2131513089 date "1996-01-01" @default.
• W2131513089 modified "2023-09-30" @default.
• W2131513089 title "A set-based approach for white noise modeling" @default.
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• W2131513089 doi "https://doi.org/10.1109/9.539426" @default.
• W2131513089 hasPublicationYear "1996" @default.
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