No Cover Image

Journal article 528 views 83 downloads

A high efficient next generation reservoir computing to predict and generate chaos with application for secure communication

Leisheng Jin Orcid Logo, Zhuo Liu, Ai Guan, Zhen Wang, Rui Xue, Lijie Li Orcid Logo

IET Communications, Volume: 17, Issue: 4

Swansea University Author: Lijie Li Orcid Logo

  • 62214.pdf

    PDF | Version of Record

    This is an open access article under the terms of the Creative Commons Attribution License

    Download (2.31MB)

Check full text

DOI (Published version): 10.1049/cmu2.12559

Abstract

In this work, a high efficient next generation reservoir computing (HENG-RC) paradigm that adopts the principle of local states correlation and attention mechanism is proposed, which is able to process dynamical information generated by both the low dimensional and very large spatiotemporal chaotic...

Full description

Published in: IET Communications
ISSN: 1751-8628 1751-8636
Published: Institution of Engineering and Technology (IET) 2022
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa62214
first_indexed 2022-12-27T16:54:38Z
last_indexed 2024-11-14T12:20:33Z
id cronfa62214
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2023-06-12T16:28:03.4105142</datestamp><bib-version>v2</bib-version><id>62214</id><entry>2022-12-27</entry><title>A high efficient next generation reservoir computing to predict and generate chaos with application for secure communication</title><swanseaauthors><author><sid>ed2c658b77679a28e4c1dcf95af06bd6</sid><ORCID>0000-0003-4630-7692</ORCID><firstname>Lijie</firstname><surname>Li</surname><name>Lijie Li</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2022-12-27</date><deptcode>ACEM</deptcode><abstract>In this work, a high efficient next generation reservoir computing (HENG-RC) paradigm that adopts the principle of local states correlation and attention mechanism is proposed, which is able to process dynamical information generated by both the low dimensional and very large spatiotemporal chaotic systems (VLSCS). From a dynamical system perspective, the dynamical characteristics such as density distribution, Poincar&#xE9; plots and max Lyapunov exponents of the proposed HENG-RC are studied. It is revealed that the trained model can be seen as a data-driven chaotic system. Furthermore, a novel scheme of secure communication based on chaotic synchronization of two HENG-RC systems is designed, of which the security is enhanced as the intruder needs to know simultaneously the training signal and details of the parameter setting in the HENG-RC. The digital implementation using field programmable gate array is experimentally realised, proving the feasibility of the secure communication scheme.</abstract><type>Journal Article</type><journal>IET Communications</journal><volume>17</volume><journalNumber>4</journalNumber><paginationStart/><paginationEnd/><publisher>Institution of Engineering and Technology (IET)</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>1751-8628</issnPrint><issnElectronic>1751-8636</issnElectronic><keywords>chaos synchronisation; data-driven; next generation reservoir computing; secure communication; time series prediction</keywords><publishedDay>27</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2022</publishedYear><publishedDate>2022-12-27</publishedDate><doi>10.1049/cmu2.12559</doi><url/><notes/><college>COLLEGE NANME</college><department>Aerospace, Civil, Electrical, and Mechanical Engineering</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>ACEM</DepartmentCode><institution>Swansea University</institution><apcterm>Not Required</apcterm><funders>China Postdoctoral Science Foundation. Grant Number: 2019T120447</funders><projectreference/><lastEdited>2023-06-12T16:28:03.4105142</lastEdited><Created>2022-12-27T16:50:19.3428092</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering</level></path><authors><author><firstname>Leisheng</firstname><surname>Jin</surname><orcid>0000-0002-0591-8211</orcid><order>1</order></author><author><firstname>Zhuo</firstname><surname>Liu</surname><order>2</order></author><author><firstname>Ai</firstname><surname>Guan</surname><order>3</order></author><author><firstname>Zhen</firstname><surname>Wang</surname><order>4</order></author><author><firstname>Rui</firstname><surname>Xue</surname><order>5</order></author><author><firstname>Lijie</firstname><surname>Li</surname><orcid>0000-0003-4630-7692</orcid><order>6</order></author></authors><documents><document><filename>62214__26202__bf66f8598f1d4605b0c587dc71ddcbac.pdf</filename><originalFilename>62214.pdf</originalFilename><uploaded>2023-01-06T08:46:04.7055277</uploaded><type>Output</type><contentLength>2423130</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>This is an open access article under the terms of the Creative Commons Attribution License</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>http://creativecommons.org/licenses/by/4.0/</licence></document></documents><OutputDurs/></rfc1807>
spelling 2023-06-12T16:28:03.4105142 v2 62214 2022-12-27 A high efficient next generation reservoir computing to predict and generate chaos with application for secure communication ed2c658b77679a28e4c1dcf95af06bd6 0000-0003-4630-7692 Lijie Li Lijie Li true false 2022-12-27 ACEM In this work, a high efficient next generation reservoir computing (HENG-RC) paradigm that adopts the principle of local states correlation and attention mechanism is proposed, which is able to process dynamical information generated by both the low dimensional and very large spatiotemporal chaotic systems (VLSCS). From a dynamical system perspective, the dynamical characteristics such as density distribution, Poincaré plots and max Lyapunov exponents of the proposed HENG-RC are studied. It is revealed that the trained model can be seen as a data-driven chaotic system. Furthermore, a novel scheme of secure communication based on chaotic synchronization of two HENG-RC systems is designed, of which the security is enhanced as the intruder needs to know simultaneously the training signal and details of the parameter setting in the HENG-RC. The digital implementation using field programmable gate array is experimentally realised, proving the feasibility of the secure communication scheme. Journal Article IET Communications 17 4 Institution of Engineering and Technology (IET) 1751-8628 1751-8636 chaos synchronisation; data-driven; next generation reservoir computing; secure communication; time series prediction 27 12 2022 2022-12-27 10.1049/cmu2.12559 COLLEGE NANME Aerospace, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM Swansea University Not Required China Postdoctoral Science Foundation. Grant Number: 2019T120447 2023-06-12T16:28:03.4105142 2022-12-27T16:50:19.3428092 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering Leisheng Jin 0000-0002-0591-8211 1 Zhuo Liu 2 Ai Guan 3 Zhen Wang 4 Rui Xue 5 Lijie Li 0000-0003-4630-7692 6 62214__26202__bf66f8598f1d4605b0c587dc71ddcbac.pdf 62214.pdf 2023-01-06T08:46:04.7055277 Output 2423130 application/pdf Version of Record true This is an open access article under the terms of the Creative Commons Attribution License true eng http://creativecommons.org/licenses/by/4.0/
title A high efficient next generation reservoir computing to predict and generate chaos with application for secure communication
spellingShingle A high efficient next generation reservoir computing to predict and generate chaos with application for secure communication
Lijie Li
title_short A high efficient next generation reservoir computing to predict and generate chaos with application for secure communication
title_full A high efficient next generation reservoir computing to predict and generate chaos with application for secure communication
title_fullStr A high efficient next generation reservoir computing to predict and generate chaos with application for secure communication
title_full_unstemmed A high efficient next generation reservoir computing to predict and generate chaos with application for secure communication
title_sort A high efficient next generation reservoir computing to predict and generate chaos with application for secure communication
author_id_str_mv ed2c658b77679a28e4c1dcf95af06bd6
author_id_fullname_str_mv ed2c658b77679a28e4c1dcf95af06bd6_***_Lijie Li
author Lijie Li
author2 Leisheng Jin
Zhuo Liu
Ai Guan
Zhen Wang
Rui Xue
Lijie Li
format Journal article
container_title IET Communications
container_volume 17
container_issue 4
publishDate 2022
institution Swansea University
issn 1751-8628
1751-8636
doi_str_mv 10.1049/cmu2.12559
publisher Institution of Engineering and Technology (IET)
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering
document_store_str 1
active_str 0
description In this work, a high efficient next generation reservoir computing (HENG-RC) paradigm that adopts the principle of local states correlation and attention mechanism is proposed, which is able to process dynamical information generated by both the low dimensional and very large spatiotemporal chaotic systems (VLSCS). From a dynamical system perspective, the dynamical characteristics such as density distribution, Poincaré plots and max Lyapunov exponents of the proposed HENG-RC are studied. It is revealed that the trained model can be seen as a data-driven chaotic system. Furthermore, a novel scheme of secure communication based on chaotic synchronization of two HENG-RC systems is designed, of which the security is enhanced as the intruder needs to know simultaneously the training signal and details of the parameter setting in the HENG-RC. The digital implementation using field programmable gate array is experimentally realised, proving the feasibility of the secure communication scheme.
published_date 2022-12-27T08:17:56Z
_version_ 1821392740623056896
score 11.047501

Similar Items