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  • This work deals with the synthesis and subsequent control of discrete chaotic system by means of evolutionary algorithms. The main aim of this work is to show that evolutionary algorithms are capable of synthesis of new discrete chaotic system and optimization of its control and to show a new approach of solving this problem and constructing new cost functions operating in ?blackbox mode? without previous exact mathematical analysis of the system. Three different cost functions are presented and tested here. The evolutionary algorithm, Self-Organizing Migrating Algorithm (SOMA) was used in its four versions. For each version, repeated simulations were conducted to outline the effectiveness and robustness of used method and cost function. Presented results lend weight to the argument, that proposed cost functions give satisfactory result and described method can be considered as a simple tool as to how to check the controllability of new synthesized chaotic system without any numerical analysis.
  • This work deals with the synthesis and subsequent control of discrete chaotic system by means of evolutionary algorithms. The main aim of this work is to show that evolutionary algorithms are capable of synthesis of new discrete chaotic system and optimization of its control and to show a new approach of solving this problem and constructing new cost functions operating in ?blackbox mode? without previous exact mathematical analysis of the system. Three different cost functions are presented and tested here. The evolutionary algorithm, Self-Organizing Migrating Algorithm (SOMA) was used in its four versions. For each version, repeated simulations were conducted to outline the effectiveness and robustness of used method and cost function. Presented results lend weight to the argument, that proposed cost functions give satisfactory result and described method can be considered as a simple tool as to how to check the controllability of new synthesized chaotic system without any numerical analysis. (en)
Title
  • Optimal Control of Evolutionary Synthesized Chaotic System
  • Optimal Control of Evolutionary Synthesized Chaotic System (en)
skos:prefLabel
  • Optimal Control of Evolutionary Synthesized Chaotic System
  • Optimal Control of Evolutionary Synthesized Chaotic System (en)
skos:notation
  • RIV/70883521:28140/09:63507981!RIV10-MSM-28140___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/09/1680), Z(MSM7088352101)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 331864
http://linked.open...ai/riv/idVysledku
  • RIV/70883521:28140/09:63507981
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Chaos Control; deterministic chaos; estimation of parameters; optimization; evolutionary algorithms; SOMA. (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [96E854E352FD]
http://linked.open...v/mistoKonaniAkce
  • Brno
http://linked.open...i/riv/mistoVydani
  • Brno
http://linked.open...i/riv/nazevZdroje
  • 15th International Conference on Soft Computing MENDEL 2009
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Oplatková, Zuzana
  • Zelinka, Ivan
  • Šenkeřík, Roman
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Vysoké učení technické v Brně
https://schema.org/isbn
  • 978-80-214-3884-2
http://localhost/t...ganizacniJednotka
  • 28140
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