Resilient adaptive event-triggered synchronization control of piecewise-homogeneous Markov jump delayed neural networks under aperiodic DoS attacks

Zhao, S; Zhang, H; Xiong, L; Wen, S; Cao, J; Zhang, Y

Resilient adaptive event-triggered synchronization control of piecewise-homogeneous Markov jump delayed neural networks under aperiodic DoS attacks

Zhao, S Zhang, H Xiong, L Wen, S

Cao, J Zhang, Y

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Publisher:: WILEY
Publication Type:: Journal Article
Citation:: International Journal of Robust and Nonlinear Control, 2023
Issue Date:: 2023-01-01

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Field	Value	Language
dc.contributor.author	Zhao, S
dc.contributor.author	Zhang, H
dc.contributor.author	Xiong, L
dc.contributor.author	Wen, S https://orcid.org/0000-0001-8077-7001
dc.contributor.author	Cao, J
dc.contributor.author	Zhang, Y
dc.date.accessioned	2024-01-16T21:40:20Z
dc.date.available	2024-01-16T21:40:20Z
dc.date.issued	2023-01-01
dc.identifier.citation	International Journal of Robust and Nonlinear Control, 2023
dc.identifier.issn	1049-8923
dc.identifier.issn	1099-1239
dc.identifier.uri	http://hdl.handle.net/10453/174654
dc.description.abstract	Under the aperiodic Denial-of-service (DoS) attacks, this paper studies the resilient adaptive event-triggered synchronization control problem for a class of Piecewise-Homogeneous Uncertain Markov Jump Neural Networks (PHUMJNNs) with time-varying delays. First of all, a new way of carving DoS attacks is given from the defenders' perspective, that is, aperiodic DoS attacks based on fixed detection periods. Then, under such attacks, a new Resilient Adaptive Event-triggered Communication (RAETC) is designed between sensor and controller, which has a threshold function based on the net change rate and is real-time updated depending on the present sampling state. Next, a single functional is used in the construction of the Lyapunov-Krasovskii functional, while a new looped functional is introduced that makes full use of the state information of the current instant (Formula presented.), the trigger instant (Formula presented.) and the next trigger instant (Formula presented.). Based on the constructed single functional, under the framework of the input delay method and the linear matrix inequality technique, the exponential mean square stabilization criterion of the error system is obtained, which makes the master system and the slave system synchronized. In the end, three simulation examples are used to illustrate the validity of the obtained results.
dc.language	English
dc.publisher	WILEY
dc.relation.ispartof	International Journal of Robust and Nonlinear Control
dc.relation.isbasedon	10.1002/rnc.7041
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0102 Applied Mathematics, 0906 Electrical and Electronic Engineering, 0913 Mechanical Engineering
dc.subject.classification	Industrial Engineering & Automation
dc.subject.classification	4009 Electronics, sensors and digital hardware
dc.subject.classification	4901 Applied mathematics
dc.title	Resilient adaptive event-triggered synchronization control of piecewise-homogeneous Markov jump delayed neural networks under aperiodic DoS attacks
dc.type	Journal Article
utslib.for	0102 Applied Mathematics
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	0913 Mechanical 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	2024-01-16T21:40:18Z
pubs.publication-status	Published

Abstract:

Under the aperiodic Denial-of-service (DoS) attacks, this paper studies the resilient adaptive event-triggered synchronization control problem for a class of Piecewise-Homogeneous Uncertain Markov Jump Neural Networks (PHUMJNNs) with time-varying delays. First of all, a new way of carving DoS attacks is given from the defenders' perspective, that is, aperiodic DoS attacks based on fixed detection periods. Then, under such attacks, a new Resilient Adaptive Event-triggered Communication (RAETC) is designed between sensor and controller, which has a threshold function based on the net change rate and is real-time updated depending on the present sampling state. Next, a single functional is used in the construction of the Lyapunov-Krasovskii functional, while a new looped functional is introduced that makes full use of the state information of the current instant (Formula presented.), the trigger instant (Formula presented.) and the next trigger instant (Formula presented.). Based on the constructed single functional, under the framework of the input delay method and the linear matrix inequality technique, the exponential mean square stabilization criterion of the error system is obtained, which makes the master system and the slave system synchronized. In the end, three simulation examples are used to illustrate the validity of the obtained results.

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http://hdl.handle.net/10453/174654