Automatic design of nonlinear controllers by means of coevolutive algorithms application to an inverted pendulum

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

@InProceedings{Gomez:2011:MED,
  author =       "Francisco Manuel Fernandez Gomez and 
                 Francisco Javier Muros Ponce",
  title =        "Automatic design of nonlinear controllers by means of
                 coevolutive algorithms application to an inverted
                 pendulum",
  booktitle =    "19th Mediterranean Conference on Control Automation
                 (MED 2011)",
  year =         "2011",
  month =        "20-23 " # jun,
  pages =        "552--557",
  size =         "6 pages",
  address =      "Corfu",
  abstract =     "This paper focuses on the development of a tool to
                 design nonlinear controllers automatically. This is
                 done by means of an automatic stochastic search: a
                 coevolutive algorithm, inspired by the competitive and
                 symbiotic relationships between certain species in the
                 Nature that evolve in parallel. The algorithm developed
                 is used to look for a law that enable control of a
                 classic system: the inverted pendulum. One of the two
                 species that coevolve is made up of a set of control
                 laws (each of them is a solution). The other one
                 consist of initial conditions (that is a population of
                 problems). The search space of the problem comprises
                 all the possible solutions to it. The populations of
                 the two species that evolve are processed by two
                 different kinds of evolutive algorithms, a genetic
                 algorithm and an algorithm that implements the Genetic
                 Programming paradigm.",
  keywords =     "genetic algorithms, genetic programming, automatic
                 design, automatic stochastic search, coevolutive
                 algorithm, genetic programming paradigm, inverted
                 pendulum, nonlinear controller, control system
                 synthesis, nonlinear control systems, pendulums, search
                 problems, stochastic processes",
  DOI =          "doi:10.1109/MED.2011.5982996",
  notes =        "Also known as \cite{5982996}",
}

Genetic Programming entries for Francisco Manuel Fernandez Gomez Francisco Javier Muros Ponce

Citations