Automatic Synthesis Using Genetic Programming of an Improved General-Purpose Controller for Industrially Representative Plants

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Keane:2002:eh,
  author =       "M. A. Keane and J. R. Koza and M. J. Streeter",
  editor =       "Adrian Stoica and Jason Lohn and Rich Katz and 
                 Didier Keymeulen and Ricardo Salem Zebulum",
  month =        "15-18 " # jul,
  year =         "2002",
  title =        "Automatic Synthesis Using Genetic Programming of an
                 Improved General-Purpose Controller for Industrially
                 Representative Plants",
  booktitle =    "The 2002 {NASA/DoD} Conference on Evolvable Hardware",
  pages =        "113--122",
  publisher =    "IEEE Computer Society",
  address =      "Alexandria, Virginia",
  organisation = "Jet Propulsion Laboratory, California Institute of
                 Technology",
  publisher_address = "10662 Los Vaqueros Circle, P.O. Box 3014, Los
                 Alamitos, CA, 90720-1314, USA",
  email =        "makeane@ix.netcom.com",
  keywords =     "genetic algorithms, genetic programming, PID
                 controller, automatic synthesis, automatic tuning
                 rules, general-purpose controller, genetically evolved
                 controller, industrially representative plants,
                 real-world controllers, controllers, three-term
                 control, transfer functions",
  ISBN =         "0-7695-1718-8",
  DOI =          "doi:10.1109/EH.2002.1029873",
  size =         "10 pages",
  abstract =     "Most real-world controllers are composed of
                 proportional, integrative, and derivative Signal
                 processing blocks. The so-called PID controller was
                 invented and patented by A. Callender and A.B.
                 Stevenson (1939). Later J.G. Ziegler and N.B. Nichols
                 (1942) developed mathematical rules for automatically
                 selecting the parameter values for PID controllers. In
                 their influential book, K.J. Astrom and T. Hagglund
                 (1995) developed a world-beating PID controller that
                 outperforms the 1942 Ziegler-Nichols rules on an
                 industrially representative set of plants. In this
                 paper, we approached the problem of automatic synthesis
                 of a controller using genetic programming without
                 requiring in advance that the topology of the plant be
                 the conventional PID topology. We present a genetically
                 evolved controller that outperforms the automatic
                 tuning rules developed by Astrom and Hagglund in 1995
                 for the industrially representative set of plants
                 specified by Astrom and Hagglund.",
  notes =        "EH2002 broken 2012
                 http://cism.jpl.nasa.gov/ehw/events/nasaeh02/",
}

Genetic Programming entries for Martin A Keane John Koza Matthew J Streeter

Citations