Automatic design of nonlinear controllers by means of coevolutive algorithms application to an inverted pendulum
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- @InProceedings{Gomez:2011:MED,
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author = "Francisco Manuel Fernandez Gomez and
Francisco Javier Muros Ponce",
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title = "Automatic design of nonlinear controllers by means of
coevolutive algorithms application to an inverted
pendulum",
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booktitle = "19th Mediterranean Conference on Control Automation
(MED 2011)",
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year = "2011",
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month = "20-23 " # jun,
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pages = "552--557",
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size = "6 pages",
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address = "Corfu",
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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.",
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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",
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DOI = "doi:10.1109/MED.2011.5982996",
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notes = "Also known as \cite{5982996}",
- }
Genetic Programming entries for
Francisco Manuel Fernandez Gomez
Francisco Javier Muros Ponce
Citations