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

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@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

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