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Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

Classical, fuzzy and genetic algorithm tuning methods for PID controllers: A comparison study using an industrial flow loop

Adgar, Adam, Cox, Chris, Schwarz, Michael and Moat, Kevin (2001) Classical, fuzzy and genetic algorithm tuning methods for PID controllers: A comparison study using an industrial flow loop. Journal A, 42 (3). pp. 39-44. ISSN 07711107

Item Type: Article
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More Information

Depositing User: Rachel Webb

Identifiers

Item ID: 190
ISSN: 07711107
URI: http://sure.sunderland.ac.uk/id/eprint/190

Users with ORCIDS

Catalogue record

Date Deposited: 13 Jan 2010 10:48
Last Modified: 02 Jul 2019 09:04

Contributors

Author: Adam Adgar
Author: Chris Cox
Author: Michael Schwarz
Author: Kevin Moat

University Divisions

Faculty of Technology > School of Computer Science

Subjects

Engineering > Mathematics (Engineering)
Engineering > Mechanical Engineering

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