A Unified Framework Design for Finite-Time and Fixed-Time Synchronization of Discontinuous Neural Networks.

Xiao, J; Zeng, Z; Wen, S; Wu, A; Wang, L

A Unified Framework Design for Finite-Time and Fixed-Time Synchronization of Discontinuous Neural Networks.

Xiao, J Zeng, Z Wen, S

Wu, A Wang, L

Permalink

Publisher:: Institute of Electrical and Electronics Engineers
Publication Type:: Journal Article
Citation:: IEEE Transactions on Cybernetics, 2021, 51, (6), pp. 3004-3016
Issue Date:: 2021-01-01

Closed Access

	Filename	Description	Size
	A_Unified_Framework_Design_for_Finite-Time_and_Fixed-Time_Synchronization_of_Discontinuous_Neural_Networks.pdf	Published version	2.72 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Xiao, J
dc.contributor.author	Zeng, Z
dc.contributor.author	Wen, S https://orcid.org/0000-0001-8077-7001
dc.contributor.author	Wu, A
dc.contributor.author	Wang, L
dc.date.accessioned	2022-03-08T05:52:49Z
dc.date.available	2022-03-08T05:52:49Z
dc.date.issued	2021-01-01
dc.identifier.citation	IEEE Transactions on Cybernetics, 2021, 51, (6), pp. 3004-3016
dc.identifier.issn	1083-4419
dc.identifier.issn	2168-2275
dc.identifier.uri	http://hdl.handle.net/10453/155067
dc.description.abstract	In this article, the problems of finite-time/fixed-time synchronization have been investigated for discontinuous neural networks in the unified framework. To achieve the finite-time/fixed-time synchronization, a novel unified integral sliding-mode manifold is introduced, and corresponding unified control strategies are provided; some criteria are established for selecting suitable parameters for solving the related issue, namely, the dynamics of neural network can reach the designed sliding-mode manifold in finite/fixed time, and stay on it thereafter. Moreover, the estimations of setting time are given out. The established unified framework can bring in various protocols by choosing the different parameters of controllers and sliding-mode manifold, which extend previous related results. Finally, some numerical examples are introduced to show the effectiveness and superiority of resulting conclusions.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	Institute of Electrical and Electronics Engineers
dc.relation.ispartof	IEEE Transactions on Cybernetics
dc.relation.isbasedon	10.1109/tcyb.2019.2957398
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0102 Applied Mathematics, 0801 Artificial Intelligence and Image Processing, 0906 Electrical and Electronic Engineering
dc.subject.classification	Artificial Intelligence & Image Processing
dc.title	A Unified Framework Design for Finite-Time and Fixed-Time Synchronization of Discontinuous Neural Networks.
dc.type	Journal Article
utslib.citation.volume	51
utslib.location.activity	United States
utslib.for	0102 Applied Mathematics
utslib.for	0801 Artificial Intelligence and Image Processing
utslib.for	0906 Electrical and Electronic Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2022-03-08T05:52:47Z
pubs.issue	6
pubs.publication-status	Published
pubs.volume	51
utslib.citation.issue	6

Abstract:

In this article, the problems of finite-time/fixed-time synchronization have been investigated for discontinuous neural networks in the unified framework. To achieve the finite-time/fixed-time synchronization, a novel unified integral sliding-mode manifold is introduced, and corresponding unified control strategies are provided; some criteria are established for selecting suitable parameters for solving the related issue, namely, the dynamics of neural network can reach the designed sliding-mode manifold in finite/fixed time, and stay on it thereafter. Moreover, the estimations of setting time are given out. The established unified framework can bring in various protocols by choosing the different parameters of controllers and sliding-mode manifold, which extend previous related results. Finally, some numerical examples are introduced to show the effectiveness and superiority of resulting conclusions.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/155067