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Statements

Subject Item
n2:RIV%2F70883521%3A28140%2F06%3A63504327%21RIV07-MSM-28140___
rdf:type
skos:Concept n21:Vysledek
dcterms:description
Tato práce se zabývá průzkumem optimalizace zpětnovazebního řízení chaosu založeného na použití evolučních algoritmů. Hlavním cílem je ukázat, že evoluční algoritmy jsou schopné optimalizovat řízení chaosu. Jako model deterministického systému byla použita Henonova mapa. Optimalizace byly realizovány několika způsoby, každy z nich pro jinou sadu parametrů evolučních algoritmů nebo jinou účelovou funkci. SOMA byla použita ve 4 verzích. Každá simulace byla několikrát zopakována, aby se ukázala a prověřila robustnost použité metody či účelové funkce. This work deals with an investigation on optimization of the feedback control of chaos based on using of the evolutionary algorithms. The main aim of this work is to show that evolutionary algorithms are capable of optimization of chaos control. As a model of deterministic chaotic system the Henon map was used. The optimizations were realized in several ways, each one for another set of parameters of evolution algorithms or another cost functions. The evolutionary algorithm SOMA (Self-Organizing Migrating Algorithm) was used in four versions. For each version simulations were repeated several times to show and check robustness of used method. This work deals with an investigation on optimization of the feedback control of chaos based on using of the evolutionary algorithms. The main aim of this work is to show that evolutionary algorithms are capable of optimization of chaos control. As a model of deterministic chaotic system the Henon map was used. The optimizations were realized in several ways, each one for another set of parameters of evolution algorithms or another cost functions. The evolutionary algorithm SOMA (Self-Organizing Migrating Algorithm) was used in four versions. For each version simulations were repeated several times to show and check robustness of used method.
dcterms:title
INVESTIGATION ON EVOLUTIONARY EDTAS CHAOS CONTROL Evoluční řízení deterministického chaosu INVESTIGATION ON EVOLUTIONARY EDTAS CHAOS CONTROL
skos:prefLabel
INVESTIGATION ON EVOLUTIONARY EDTAS CHAOS CONTROL INVESTIGATION ON EVOLUTIONARY EDTAS CHAOS CONTROL Evoluční řízení deterministického chaosu
skos:notation
RIV/70883521:28140/06:63504327!RIV07-MSM-28140___
n3:strany
507-512
n3:aktivita
n16:P n16:Z
n3:aktivity
P(GA102/05/0271), P(GA102/06/1132), Z(MSM7088352101)
n3:dodaniDat
n20:2007
n3:domaciTvurceVysledku
n12:3433390 n12:3831140 n12:9388486
n3:druhVysledku
n11:D
n3:duvernostUdaju
n19:S
n3:entitaPredkladatele
n5:predkladatel
n3:idSjednocenehoVysledku
480375
n3:idVysledku
RIV/70883521:28140/06:63504327
n3:jazykVysledku
n7:eng
n3:klicovaSlova
Chaos; control; optimization; evolutionary algorithms; parameter estimation
n3:klicoveSlovo
n8:control n8:parameter%20estimation n8:evolutionary%20algorithms n8:optimization n8:Chaos
n3:kontrolniKodProRIV
[71BC90763BC5]
n3:mistoVydani
Germany
n3:nazevZdroje
20th European Conference on Modelling and Simulation
n3:obor
n10:JD
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n6:GA102%2F05%2F0271 n6:GA102%2F06%2F1132
n3:rokUplatneniVysledku
n20:2006
n3:tvurceVysledku
Navrátil, Eduard Zelinka, Ivan Šenkeřík, Roman
n3:zamer
n18:MSM7088352101
s:numberOfPages
6
n17:hasPublisher
European Council for Modelling and Simulation
n15:isbn
0-9553018-0-7
n14:organizacniJednotka
28140