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Output details

15 - General Engineering

University of Warwick

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Output 289 of 344 in the submission

Article title

Structural identifiability analysis via symmetries of differential equations

Type

D - Journal article

DOI

10.1016/j.automatica.2009.07.009

Title of journal

Automatica

Article number

Volume number

Issue number

First page of article

2585

ISSN of journal

0005-1098

Year of publication

2009

URL

Number of additional authors

Additional information

The first author on this paper is a collaborator from AstraZeneca UK (james.yates@astrazeneca.com), demonstrating the strong collaborative links with the company. It provides the first truly general analytical technique for performing structural identifiability analysis that could be applied to models involving partial differential equations. This work contributes to AZ UK’s work on the reduction of animals in scientific experiments.

Interdisciplinary

Cross-referral requested

Research group

None

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract