Synchronization of reservoir computers with applications to communications

Tongfeng Weng, Jia Song, Huijie Yang, Changgui Gu, Jie Zhang and Michael Small

Physica A: Statistical Mechanics and its Applications, 2020, vol. 544, issue C

Abstract: We consider different reservoir computers learning and modeling the same chaotic system. We find that by transmitting a common signal, synchronization will be achieved between these superficially distinct reservoir computers. We further show that even when the transmitted signal is contaminated with extensive observational noise, synchronization will still occur. Moreover, utilizing a cascaded synchronization scheme, we can successfully recover a chaotic masking signal hidden in the transmitter. Our findings reveal that synchronization is a common feature of reservoir computers upon learning chaotic systems.

Keywords: Synchronization; Reservoir computing approach; Chaotic system (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437119319259
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

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:eee:phsmap:v:544:y:2020:i:c:s0378437119319259

DOI: 10.1016/j.physa.2019.123453

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().