Genetic Programming Algorithm for Designing of Control Systems
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- @Article{Lapa:2018:itc,
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title = "Genetic Programming Algorithm for Designing of Control
Systems",
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author = "Krystian Lapa and Krzysztof Cpalka and
Andrzej Przybyl",
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journal = "Information Technology And Control",
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year = "2018",
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number = "4",
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volume = "47",
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pages = "668--683",
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keywords = "genetic algorithms, genetic programming, artificial
intelligence, PID, controller, selection of structure
and parameters",
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bibdate = "2019-01-15",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/journals/itc/itc47.html#CpalkaLP18",
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ISSN = "1392-124X",
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URL = "http://itc.ktu.lt/index.php/ITC/article/view/20795/9705",
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URL = "http://itc.ktu.lt/index.php/ITC/article/view/20795",
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DOI = "doi:10.5755/j01.itc.47.4.20795",
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abstract = "Genetic programming algorithms and other
population-based methods are a convenient tool for
solving complex interdisciplinary problems. Their
characteristic feature is that they flexibly adapt to
the problem and expectations of a designer. In this
paper they are used for designing complex control
systems. In particular a new approach for automatic
designing of PID-based controllers which are resistant
to noises in the measuring path is proposed. It is
based on the knowledge about an object model and
capabilities of the genetic algorithm and genetic
programming. Not only do these make it possible to tune
parameters and select the structure of PID-based
controllers, but to also tune parameters of some
additional components of a complex controller
structure, like parameters of finite impulse response
(FIR) filters. The idea of the proposed approach relies
on proper encoding of the controller and a dedicated
way of evolutionary processing of encoded solutions.
The approach proposed in this paper has been tested
using a typical control problem, i.e. a DC motor
control problem.",
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notes = "journals/itc/CpalkaLP18",
- }
Genetic Programming entries for
Krystian Lapa
Krzysztof Cpalka
Andrzej Przybyl
Citations