Prediction uncertainty from models and data

Michael Frenklach, Andrew Packard, Pete Seiler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

34 Scopus citations

Abstract

We present an approach to uncertainty propagation in dynamic systems, exploiting information provided by related experimental results along with their models. Our computational procedure draws from ideas and tools that are now common in robust control theory. A case study on a well-known database of methane combustion experiments and models demonstrates the viability of our proposed method.

Original languageEnglish (US)
Title of host publicationProceedings of the American Control Conference
Pages4135-4140
Number of pages6
DOIs
StatePublished - Sep 6 2002
Event2002 American Control Conference - Anchorage, AK, United States
Duration: May 8 2002May 10 2002

Publication series

NameProceedings of the American Control Conference
Volume5
ISSN (Print)0743-1619

Other

Other2002 American Control Conference
Country/TerritoryUnited States
CityAnchorage, AK
Period5/8/025/10/02

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