Prediction uncertainty from models and data

Michael Frenklach; Andrew Packard; Pete Seiler

doi:10.1109/ACC.2002.1024578

Prediction uncertainty from models and data

Michael Frenklach, Andrew Packard, Pete Seiler

Aerospace Engineering and Mechanics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

39 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 language	English (US)
Title of host publication	Proceedings of the American Control Conference
Pages	4135-4140
Number of pages	6
DOIs	https://doi.org/10.1109/ACC.2002.1024578
State	Published - 2002
Event	2002 American Control Conference - Anchorage, AK, United States Duration: May 8 2002 → May 10 2002

Publication series

Name	Proceedings of the American Control Conference
Volume	5
ISSN (Print)	0743-1619

Conference

Conference	2002 American Control Conference
Country/Territory	United States
City	Anchorage, AK
Period	5/8/02 → 5/10/02

Publisher link

10.1109/ACC.2002.1024578

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title = "Prediction uncertainty from models and data",

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.",

author = "Michael Frenklach and Andrew Packard and Pete Seiler",

year = "2002",

doi = "10.1109/ACC.2002.1024578",

language = "English (US)",

isbn = "0780372980",

series = "Proceedings of the American Control Conference",

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booktitle = "Proceedings of the American Control Conference",

note = "2002 American Control Conference ; Conference date: 08-05-2002 Through 10-05-2002",

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AU - Frenklach, Michael

AU - Packard, Andrew

AU - Seiler, Pete

PY - 2002

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N2 - 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.

AB - 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.

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U2 - 10.1109/ACC.2002.1024578

DO - 10.1109/ACC.2002.1024578

M3 - Conference contribution

AN - SCOPUS:0036058036

SN - 0780372980

T3 - Proceedings of the American Control Conference

SP - 4135

EP - 4140

BT - Proceedings of the American Control Conference

T2 - 2002 American Control Conference

Y2 - 8 May 2002 through 10 May 2002

ER -

Prediction uncertainty from models and data

Abstract

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