Evolutionary design of process controllers

Created by W.Langdon from gp-bibliography.bib Revision:1.2031

@InProceedings{Searsoncontrol98,
  author =       "D. P. Searson and G. A. Montague and M. J Willis",
  title =        "Evolutionary design of process controllers",
  booktitle =    "In Proceedings of the 1998 United Kingdom Automatic
                 Control Council International Conference on Control
                 (UKACC International Conference on Control '98)",
  year =         "1998",
  volume =       "455",
  series =       "IEE Conference Publications",
  address =      "University of Wales, Swansea, UK",
  month =        "1-4 " # sep,
  publisher =    "Institution of Electrical Engineers (IEE)",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.staff.ncl.ac.uk/d.p.searson/docs/Searsoncontrol98.pdf",
  size =         "6 pages",
  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