Aperiodic Event-triggered Synchronization Control for Neural Networks with Stochastic Perturbations and Time Delay

Gong, S; Guo, Z; Liu, M; Wen, S; Huang, T

Aperiodic Event-triggered Synchronization Control for Neural Networks with Stochastic Perturbations and Time Delay

Gong, S Guo, Z Liu, M Wen, S

Huang, T

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Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Journal Article
Citation:: IEEE Transactions on Circuits and Systems II: Express Briefs, 2022, PP, (99), pp. 1-1
Issue Date:: 2022-01-01

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Field	Value	Language
dc.contributor.author	Gong, S
dc.contributor.author	Guo, Z
dc.contributor.author	Liu, M
dc.contributor.author	Wen, S https://orcid.org/0000-0001-8077-7001
dc.contributor.author	Huang, T
dc.date.accessioned	2023-02-28T04:28:20Z
dc.date.available	2023-02-28T04:28:20Z
dc.date.issued	2022-01-01
dc.identifier.citation	IEEE Transactions on Circuits and Systems II: Express Briefs, 2022, PP, (99), pp. 1-1
dc.identifier.issn	1549-7747
dc.identifier.issn	1558-3791
dc.identifier.uri	http://hdl.handle.net/10453/166560
dc.description.abstract	In the presence of stochastic perturbations and time delay, the aperiodic event-triggered synchronization control for neural networks is studied in this paper. First, a suitable linear event-triggered control is designed to ensure the synchronization of the delayed stochastic neural networks in mean square. Then, by using Itô-differential formula, the synchronization criteria are derived under the event-triggered control. Moreover, a new method is proposed to prove that Zeno behavior does not occur, which ensures that the event-triggered control is feasible. Finally, an example and its simulation are provided to substantiate the effectiveness of the theory.
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	IEEE Transactions on Circuits and Systems II: Express Briefs
dc.relation.isbasedon	10.1109/TCSII.2022.3230063
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0906 Electrical and Electronic Engineering
dc.subject.classification	Electrical & Electronic Engineering
dc.title	Aperiodic Event-triggered Synchronization Control for Neural Networks with Stochastic Perturbations and Time Delay
dc.type	Journal Article
utslib.citation.volume	PP
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	*
dc.date.updated	2023-02-28T04:28:19Z
pubs.issue	99
pubs.publication-status	Published
pubs.volume	PP
utslib.citation.issue	99

Abstract:

In the presence of stochastic perturbations and time delay, the aperiodic event-triggered synchronization control for neural networks is studied in this paper. First, a suitable linear event-triggered control is designed to ensure the synchronization of the delayed stochastic neural networks in mean square. Then, by using Itô-differential formula, the synchronization criteria are derived under the event-triggered control. Moreover, a new method is proposed to prove that Zeno behavior does not occur, which ensures that the event-triggered control is feasible. Finally, an example and its simulation are provided to substantiate the effectiveness of the theory.

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http://hdl.handle.net/10453/166560