English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/15316
Share/Impact:
Statistics
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:

Title

Predict-prevent control method for perturbed excitable systems

AuthorsCiszak, Marzena; Mirasso, Claudio R. ; Toral, Raúl ; Calvo, Óscar
KeywordsChaos
Control theory
Nonlinear dynamical systems
Synchronisation
[PACS] Control of chaos, applications of chaos
[PACS] Noise (statistical physics)
[PACS] Control of mechanical systems
[PACS] Control theory and feedback in neuroscience (higher organisms)
Issue Date3-Apr-2009
PublisherAmerican Physical Society
CitationPhysical Review E 79(4): 046203 (2009)
AbstractWe present a control method based on two steps: prediction and prevention. For prediction we use the anticipated synchronization scheme, considering unidirectional coupling between excitable systems in a master-slave configuration. The master is the perturbed system to be controlled, meanwhile the slave is an auxiliary system which is used to predict the master's behavior. The prevention is obtained by sending a control signal to the master system, which temporarily lowers its excitability threshold and prevents its future reaction to the external perturbation. We demonstrate theoretically and experimentally that an efficient control may be achieved.
Description5 pages, 6 figures.-- PACS nrs.: 05.45.Gg; 05.40.Ca; 45.80.+r; 87.19.lr.-- ArXiv pre-print available at: http://arxiv.org/abs/0807.2415
Publisher version (URL)http://dx.doi.org/10.1103/PhysRevE.79.046203
URIhttp://hdl.handle.net/10261/15316
DOI10.1103/PhysRevE.79.046203
ISSN1539-3755
Appears in Collections:(IFISC) Artículos
Files in This Item:
File Description SizeFormat 
Ciszak_et_al_PRE_043203_2009.pdf353,81 kBAdobe PDFThumbnail
View/Open
Show full item record
Review this work
 

Related articles:


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.