Design of Continuous-time Controllers using Cartesian Genetic Programming

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@Article{Kadlic:2014:PV,
  author =       "Branislav Kadlic and Ivan Sekaj and Daniel Pernecky",
  title =        "Design of Continuous-time Controllers using Cartesian
                 Genetic Programming",
  journal =      "IFAC Proceedings Volumes",
  volume =       "47",
  number =       "3",
  pages =        "6982--6987",
  year =         "2014",
  note =         "19th IFAC World Congress",
  ISSN =         "1474-6670",
  DOI =          "doi:10.3182/20140824-6-ZA-1003.00915",
  URL =          "http://www.sciencedirect.com/science/article/pii/S1474667016427114",
  abstract =     "An evolutionary computation - based
                 design/optimisation approach using the Cartesian
                 Genetic Programming is proposed for non-linear
                 continuous-time process control. It is a simplification
                 of a more general Genetic Programming - based design,
                 which is powerful, but more computationally demanding.
                 The approach is able to produce effective and
                 non-intuitive controllers in the form of a network of
                 interconnected elementary building blocks, which
                 minimize the defined performance index. Each building
                 block performs mathematic operations between its
                 inputs, next it contains gain and an elementary dynamic
                 part as integrator, derivative or unity gain. The
                 proposed design method is demonstrated on water turbine
                 control design, and the results are compared with the
                 genetic algorithm-based PID controller design.",
  keywords =     "genetic algorithms, genetic programming,
                 continuous-time control, controller structure design,
                 control performance optimization, non-linear systems",
}

Genetic Programming entries for Branislav Kadlic Ivan Sekaj Daniel Pernecky

Citations