Synchronization of Switched Neural Networks With Communication Delays via the Event-Triggered Control.

Wen, S; Zeng, Z; Chen, MZQ; Huang, T

Synchronization of Switched Neural Networks With Communication Delays via the Event-Triggered Control.

Wen, S

Zeng, Z Chen, MZQ Huang, T

Permalink

Publisher:: Institute of Electrical and Electronics Engineers
Publication Type:: Journal Article
Citation:: IEEE Transactions on Neural Networks and Learning Systems, 2017, 28, (10), pp. 2334-2343
Issue Date:: 2017-10

Closed Access

	Filename	Description	Size
	Synchronization_of_Switched_Neural_Networks_With_Communication_Delays_via_the_Event-Triggered_Control.pdf		551.86 kB	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	Wen, S https://orcid.org/0000-0001-8077-7001
dc.contributor.author	Zeng, Z
dc.contributor.author	Chen, MZQ
dc.contributor.author	Huang, T
dc.date.accessioned	2022-07-14T04:50:32Z
dc.date.available	2022-07-14T04:50:32Z
dc.date.issued	2017-10
dc.identifier.citation	IEEE Transactions on Neural Networks and Learning Systems, 2017, 28, (10), pp. 2334-2343
dc.identifier.issn	1045-9227
dc.identifier.issn	2162-2388
dc.identifier.uri	http://hdl.handle.net/10453/158906
dc.description.abstract	This paper addresses the issue of synchronization of switched delayed neural networks with communication delays via event-triggered control. For synchronizing coupled switched neural networks, we propose a novel event-triggered control law which could greatly reduce the number of control updates for synchronization tasks of coupled switched neural networks involving embedded microprocessors with limited on-board resources. The control signals are driven by properly defined events, which depend on the measurement errors and current-sampled states. By using a delay system method, a novel model of synchronization error system with delays is proposed with the communication delays and event-triggered control in the unified framework for coupled switched neural networks. The criteria are derived for the event-triggered synchronization analysis and control synthesis of switched neural networks via the Lyapunov-Krasovskii functional method and free weighting matrix approach. A numerical example is elaborated on to illustrate the effectiveness of the derived results.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	Institute of Electrical and Electronics Engineers
dc.relation	National Natural Science Foundation of China61403152
dc.relation.ispartof	IEEE Transactions on Neural Networks and Learning Systems
dc.relation.isbasedon	10.1109/TNNLS.2016.2580609
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Artificial Intelligence & Image Processing
dc.title	Synchronization of Switched Neural Networks With Communication Delays via the Event-Triggered Control.
dc.type	Journal Article
utslib.citation.volume	28
utslib.location.activity	United States
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	2022-07-14T04:50:31Z
pubs.issue	10
pubs.publication-status	Published
pubs.volume	28
utslib.citation.issue	10

Abstract:

This paper addresses the issue of synchronization of switched delayed neural networks with communication delays via event-triggered control. For synchronizing coupled switched neural networks, we propose a novel event-triggered control law which could greatly reduce the number of control updates for synchronization tasks of coupled switched neural networks involving embedded microprocessors with limited on-board resources. The control signals are driven by properly defined events, which depend on the measurement errors and current-sampled states. By using a delay system method, a novel model of synchronization error system with delays is proposed with the communication delays and event-triggered control in the unified framework for coupled switched neural networks. The criteria are derived for the event-triggered synchronization analysis and control synthesis of switched neural networks via the Lyapunov-Krasovskii functional method and free weighting matrix approach. A numerical example is elaborated on to illustrate the effectiveness of the derived results.

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

http://hdl.handle.net/10453/158906