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Hybrid control using evolutionary tuned fuzzy controller techniques - a study

Stirrup, R., Chipperfield, A., Tang, K.S. and Man, K.F. (2002) Hybrid control using evolutionary tuned fuzzy controller techniques - a study In Proceedings of the 15th IFAC World Congress on Automatic Control. International federation of Automatic Control. 6 pp.

Record type: Conference or Workshop Item (Paper)


Many real world systems exist that have operating regions or regimes that exhibit varying degrees of non-lineararity. An example of this are the significant variations in the dynamic characteristics of a distributed collector field within a solar power plant. Her a gain schedule controller using pole placement with feedforward was chosen to control the more linear operating regimes of the plant. Then a study was carried out to find the best suited and most efficient evolutionary-tuned fuzzy logic based controller, for rexlusive and concentrated use on the plant's more non-linear regions.

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Published date: 2002
Additional Information: CD-ROM
Venue - Dates: 15th IFAC World Congress on Automatic Control, 2002-07-21 - 2002-07-26
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Local EPrints ID: 22107
PURE UUID: 1cecd5e7-067d-47a2-8fdf-73e2c7da9763
ORCID for A. Chipperfield: ORCID iD

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Date deposited: 07 Mar 2007
Last modified: 17 Jul 2017 16:23

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Author: R. Stirrup
Author: A. Chipperfield ORCID iD
Author: K.S. Tang
Author: K.F. Man

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