Evolutionary design of process controllers
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Searsoncontrol98,
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author = "D. P. Searson and G. A. Montague and M. J Willis",
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title = "Evolutionary design of process controllers",
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booktitle = "In Proceedings of the 1998 United Kingdom Automatic
Control Council International Conference on Control
(UKACC International Conference on Control '98)",
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year = "1998",
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volume = "455",
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series = "IEE Conference Publications",
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address = "University of Wales, Swansea, UK",
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month = "1-4 " # sep,
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publisher = "Institution of Electrical Engineers (IEE)",
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keywords = "genetic algorithms, genetic programming",
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URL = "http://www.staff.ncl.ac.uk/d.p.searson/docs/Searsoncontrol98.pdf",
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size = "6 pages",
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abstract = "The Genetic Programming (GP) architecture offers a
potentially powerful framework for 'intelligent'
controller design due to its inherent matching of
structure to utility. This article describes the use of
GP to design discrete time single loop controllers for
two different processes: a linear Auto-Regressive
eXogeneous (ARX) type system and a non-linear simulated
Continuous Stirred Tank Reactor (CSTR), both with
constraints on the actuator outputs. It is demonstrated
that the GP methodology is capable of designing
recursive controllers that, for a specific class of
control objectives, offer similar performance to PID
controllers on the nominal systems. The advantages and
disadvantages of controllers designed in this way are
also discussed.",
- }
Genetic Programming entries for
Dominic Patrick Searson
Gary A Montague
Mark J Willis
Citations