EMERGENT PERIODIC BEHAVIOR IN COUPLED CHAOTIC SYSTEMS
Xiao-Song Yang and
Lei Wang
Additional contact information
Xiao-Song Yang: Department of Mathematics, Huazhong University of Science and Technology, Wuhan, 430074, China
Lei Wang: Department of Mathematics, Huazhong University of Science and Technology, Wuhan, 430074, China
Advances in Complex Systems (ACS), 2006, vol. 09, issue 03, 249-261
Abstract:
Emergent behavior in interconnected systems (complex systems) is of fundamental significance in natural and engineering sciences. A commonly investigated problem is how complicated dynamics take place in dynamical systems consisting of (often simple) subsystems. It is shown though numerical experiments that emergent order such as periodic behavior can likely take place in coupled chaotic dynamical systems. This is demonstrated for the particular case of coupled chaotic continuous time Hopfield neural networks. In particular, it is shown that when two chaotic Hopfield neural networks are coupled by simple sigmoid signals, periodic behavior can emerge as a consequence of this coupling.
Keywords: Emergency; periodic behavior; Hopfield neural networks; chaotic systems (search for similar items in EconPapers)
Date: 2006
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219525906000793
Access to full text is restricted to subscribers
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wsi:acsxxx:v:09:y:2006:i:03:n:s0219525906000793
Ordering information: This journal article can be ordered from
DOI: 10.1142/S0219525906000793
Access Statistics for this article
Advances in Complex Systems (ACS) is currently edited by Frank Schweitzer
More articles in Advances in Complex Systems (ACS) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().