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  • This research deals with the synthesis and control of chaos by means of evolutionary algorithms. The main aim of this work is to show that evolutionary algorithms are capable of synthesis of new 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, thus without knowledge of stabilizing of the target state. Three different cost functions are presented and tested. The optimizations were achieved in several ways, each one for another desired periodic orbit. 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 results.
  • This research deals with the synthesis and control of chaos by means of evolutionary algorithms. The main aim of this work is to show that evolutionary algorithms are capable of synthesis of new 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, thus without knowledge of stabilizing of the target state. Three different cost functions are presented and tested. The optimizations were achieved in several ways, each one for another desired periodic orbit. 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 results. (en)
Title
  • Evolutionary Synthesis and Control of Chaotic Systems
  • Evolutionary Synthesis and Control of Chaotic Systems (en)
skos:prefLabel
  • Evolutionary Synthesis and Control of Chaotic Systems
  • Evolutionary Synthesis and Control of Chaotic Systems (en)
skos:notation
  • RIV/70883521:28140/09:63507980!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
  • 314008
http://linked.open...ai/riv/idVysledku
  • RIV/70883521:28140/09:63507980
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
  • [076600BAD7DE]
http://linked.open...v/mistoKonaniAkce
  • London, UK
http://linked.open...i/riv/mistoVydani
  • Soul
http://linked.open...i/riv/nazevZdroje
  • 2nd IFAC Conference on Analysis and Control of Chaotic Systems
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
  • Davendra, Donald
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
issn
  • 1474-6670
number of pages
http://purl.org/ne...btex#hasPublisher
  • International Federation of Automatic Control
http://localhost/t...ganizacniJednotka
  • 28140
is http://linked.open...avai/riv/vysledek of
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