Automatic design of both topology and tuning of a common parameterized controller for two families of plants using genetic programming

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

@InProceedings{JessenYu:2000:CSCSD,
  author =       "Jessen Yu and Martin A. Keane and John R. Koza",
  title =        "Automatic design of both topology and tuning of a
                 common parameterized controller for two families of
                 plants using genetic programming",
  booktitle =    "Proceedings of Eleventh IEEE International Symposium
                 on Computer-Aided Control SystemDesign (CACSD)
                 Conference and Ninth IEEE International Conference on
                 Control Applications(CCA) Conference",
  year =         "2000",
  pages =        "CACSD-234--242",
  address =      "Anchorage, Alaska",
  month =        sep # " 25-27",
  organisation = "IEEE",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.genetic-programming.com/jkpdf/cacsd2000.pdf",
  URL =          "http://citeseer.ist.psu.edu/484660.html",
  abstract =     "This paper demonstrates that a technique of
                 evolutionary computation can be used to automatically
                 create the design for both the topology and parameter
                 values (tuning) for a common controller (containing
                 various parameters representing the overall
                 characteristics of the plant) for two families of
                 plants. The automatically designed controller is
                 created by means of genetic programming using a fitness
                 measure that attempts to optimise step response and
                 disturbance rejection while simultaneously imposing
                 constraints on maximum sensitivity and sensor noise
                 attenuation. The automatically designed controller
                 outperforms the controller designed with conventional
                 techniques. In particular, the automatically designed
                 controller is superior to the Astrom and Hagglund
                 controller for all plants of both families for the
                 integral of the time-weighted absolute error (ITAE) for
                 a step input, the ITAE for disturbance rejection, and
                 maximum sensitivity. Averaged over all plants of both
                 families, the ITAE for the step input for the
                 automatically designed controller is only 58% of the
                 value for the conventional controller; the ITAE for
                 disturbance rejection is 91% of the value for the
                 conventional controller; and the maximum sensitivity,
                 Ms. for the automatically designed controller is only
                 85% of the value for the conventional controller. The
                 automatically designed controller is {"}general{"} in
                 the sense that it contains free variables and therefore
                 provides a solution to an entire category of problems
                 (i.e., all the plants in the two families) - not merely
                 a single instance of the problem (i.e., a particular
                 single plant).",
}

Genetic Programming entries for Jessen Yu Martin A Keane John Koza

Citations