Parametric System Identification in the Presence of Uncertainty with Model Validation Constraints

Er-Wei Bai; Roberto Tempo; Krishan Nagpal

doi:10.1016/S1474-6670(17)58314-7

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Parametric System Identification in the Presence of Uncertainty with Model Validation Constraints

Journal article

Open access

Peer reviewed

Parametric System Identification in the Presence of Uncertainty with Model Validation Constraints

Er-Wei Bai, Roberto Tempo and Krishan Nagpal

IFAC Proceedings Volumes, Vol.29(1), pp.4052-4056

06/1996

DOI: 10.1016/S1474-6670(17)58314-7

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Abstract

This paper presents two recursive algorithms for parametric identification in the presence of both, noise and model uncertainties. The estimates provided by these algorithms are not invalidated by the observed input-output data and the assumed system and uncertainty structures.

Model Validation

Parametric System Identification

Recursive Algorithms

Uncertainty

Details

Title: Subtitle: Parametric System Identification in the Presence of Uncertainty with Model Validation Constraints
Creators: Er-Wei Bai - Hong Kong University of Science and Technology
Roberto Tempo - Politecnico di Torino
Krishan Nagpal - University of Michigan
Resource Type: Journal article
Publication Details: IFAC Proceedings Volumes, Vol.29(1), pp.4052-4056
DOI: 10.1016/S1474-6670(17)58314-7
ISSN: 1474-6670
Language: English
Date published: 06/1996
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984197999502771

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