Evolutionary design of process controllers

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@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

Citations