Adaptive Quantification of Model Uncertainties for Possibly Unstable Systems

Er-Wei Bai; Sundar Raman

doi:10.23919/ACC.1991.4791571

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Conference proceeding

Adaptive Quantification of Model Uncertainties for Possibly Unstable Systems

Er-Wei Bai and Sundar Raman

1991 American Control Conference, Vol.2, pp.1204-1209

06/1991

DOI: 10.23919/ACC.1991.4791571

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Abstract

This paper presents an adaptive rational approximation approach for quantifying the effect of possibly unstable uncertainties. It is shown in the paper that a tight frequency upper bound on a possibly unstable uncertainty is obtainable by adaptive rational approximation. The results are non-trivial extensions of the previous work on adaptive quantification of stable systems by rational approximation.

Cities and towns

Frequency

Information analysis

Mars

Polynomials

Robustness

Tellurium

Transfer functions

Uncertainty

Upper bound

Details

Title: Subtitle: Adaptive Quantification of Model Uncertainties for Possibly Unstable Systems
Creators: Er-Wei Bai - University of Iowa
Sundar Raman - University of Iowa
Resource Type: Conference proceeding
Publication Details: 1991 American Control Conference, Vol.2, pp.1204-1209
Publisher: IEEE
DOI: 10.23919/ACC.1991.4791571
ISSN: 0743-1619
eISSN: 2378-5861
Language: English
Date published: 06/1991
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984197297202771

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