Novel Exponential Stability Criteria for Switched Neutral-Type Neural Networks with Mixed Delays

Pang, C; Zhu, S; Shen, M; Liu, X; Wen, S

Novel Exponential Stability Criteria for Switched Neutral-Type Neural Networks with Mixed Delays

Pang, C Zhu, S Shen, M Liu, X Wen, S

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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, 2023, PP, (99), pp. 1-1
Issue Date:: 2023-01-01

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Field	Value	Language
dc.contributor.author	Pang, C
dc.contributor.author	Zhu, S
dc.contributor.author	Shen, M
dc.contributor.author	Liu, X
dc.contributor.author	Wen, S https://orcid.org/0000-0001-8077-7001
dc.date.accessioned	2024-01-16T21:41:06Z
dc.date.available	2024-01-16T21:41:06Z
dc.date.issued	2023-01-01
dc.identifier.citation	IEEE Transactions on Circuits and Systems II: Express Briefs, 2023, PP, (99), pp. 1-1
dc.identifier.issn	1549-7747
dc.identifier.issn	1558-3791
dc.identifier.uri	http://hdl.handle.net/10453/174655
dc.description.abstract	In this brief, the global exponential stability problem for switched neutral-type neural networks (SNTNNs) with mixed time delays is focused. By spectral properties of Metzler matrix and comparison principle, a sufficient condition for the global exponential stability of the considered SNTNNs is derived, which can be easily tested in practice. Moreover, the result obtained in this brief generalizes the existing achievement and is also effective for NNs without neutral-type delay or switching. Finally, a simple discussion and an illustrative example are presented.
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.2023.3323616
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0906 Electrical and Electronic Engineering
dc.subject.classification	Electrical & Electronic Engineering
dc.subject.classification	4006 Communications engineering
dc.subject.classification	4009 Electronics, sensors and digital hardware
dc.title	Novel Exponential Stability Criteria for Switched Neutral-Type Neural Networks with Mixed Delays
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	2024-01-16T21:41:05Z
pubs.issue	99
pubs.publication-status	Published
pubs.volume	PP
utslib.citation.issue	99

Abstract:

In this brief, the global exponential stability problem for switched neutral-type neural networks (SNTNNs) with mixed time delays is focused. By spectral properties of Metzler matrix and comparison principle, a sufficient condition for the global exponential stability of the considered SNTNNs is derived, which can be easily tested in practice. Moreover, the result obtained in this brief generalizes the existing achievement and is also effective for NNs without neutral-type delay or switching. Finally, a simple discussion and an illustrative example are presented.

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http://hdl.handle.net/10453/174655