Adaptive Prediction of Transitions between Local Attractors of Lorenz's System
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F08%3A00143954" target="_blank" >RIV/68407700:21220/08:00143954 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Adaptive Prediction of Transitions between Local Attractors of Lorenz's System
Original language description
The paper demonstrates an adaptive prediction of trajectory transitions between local attractors of deterministic chaotic systems using low-dimensional dynamic quadratic neural unit with periodically forced neural inputs. The forthcoming transitions of higher dimensional chaotic systems are predicted by a low dimensional discrete dynamic neural unit implemented as a special adaptive forced oscillator. The real-time sample-by-sample evaluation of complex system behavior is based on monitoring of parameters of an adaptive model during its adaptation. The behavior of chaotic systems in the state-space is adaptively transformed to system behavior in an approximated parameter-space using special higher order nonlinear neural unit forced with periodical inputs. Added forcing inputs allow a low dimensional dynamic neural unit to better approximate higher dimensional behavior; the forcing neural inputs are configured upon analysis of frequency spectra of the evaluated time series.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/2B06023" target="_blank" >2B06023: Development of a method for estimation of energy and matter fluxes in selected ecosystems; formulation and verification of principles for evaluation of conditions supporting selfregulation and biodiversity.</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Nové metody a postupy v oblasti přístrojové techniky, automatického řízení a informatiky
ISBN
978-80-01-04765-1
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
České vysoké učení technické v Praze
Place of publication
Praha
Event location
želiv
Event date
Jun 1, 2008
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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