Automatic synthesis of both the control law and parameters for a controller for a three-lagplant with five-second delay using genetic programming and simulation techniques

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@InProceedings{koza:2000:acc,
  author =       "John R. Koza and Martin A. Keane and Jessen Yu and 
                 William Mydlowec and Forrest H {Bennett III}",
  title =        "Automatic synthesis of both the control law and
                 parameters for a controller for a three-lagplant with
                 five-second delay using genetic programming and
                 simulation techniques",
  booktitle =    "Proceedings of the 2000 American Control Conference",
  year =         "2000",
  pages =        "453--459",
  address =      "Chicago, Illinois, USA",
  month =        jun # " 28 - 30",
  organisation = "American Automatic Control Council",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.genetic-programming.com/jkpdf/acc2000.pdf",
  URL =          "http://citeseer.ist.psu.edu/477516.html",
  abstract =     "This paper describes how the process of synthesizing
                 the design of both the topology (control law) and the
                 numerical parameter values (tuning) for a controller
                 can be automated using genetic programming. Genetic
                 programming can be used to automatically make the
                 decisions concerning the total number of signal
                 processing blocks to be employed in a controller, the
                 type of each block, the topological interconnections
                 between the blocks, and the values (tuning) of all
                 parameters for all blocks requiring parameters. In
                 synthesizing the design of controllers, genetic
                 programming can simultaneously optimize prespecified
                 performance metrics (such as minimizing the time
                 required to bring the plant output to the desired
                 value), satisfy time-domain constraints (such as
                 overshoot and disturbance rejection), and satisfy
                 frequency domain constraints. Evolutionary methods have
                 the advantage of not being encumbered by preconceptions
                 that limit its search to well-traveled paths. Genetic
                 programming is applied to an illustrative problem
                 involving the design of a controller for a three-lag
                 plant with a significant (five-second) time delay in
                 the external feedback from the plant to the controller.
                 The delay in the feedback makes the design of an
                 effective controller difficult.",
}

Genetic Programming entries for John Koza Martin A Keane Jessen Yu William J Mydlowec Forrest Bennett

Citations