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Edge-Based Decentralized Adaptive Pinning Synchronization of Complex Networks Under Link Attacks | IEEE Journals & Magazine | IEEE Xplore

Edge-Based Decentralized Adaptive Pinning Synchronization of Complex Networks Under Link Attacks


Abstract:

This article studies the pinning synchronization problem with edge-based decentralized adaptive schemes under link attacks. The link attacks considered here are a class o...Show More

Abstract:

This article studies the pinning synchronization problem with edge-based decentralized adaptive schemes under link attacks. The link attacks considered here are a class of malicious attacks to break links between neighboring nodes in complex networks. In such an insecure network environment, two kinds of edge-based decentralized adaptive update strategies (synchronous and asynchronous) on coupling strengths and gains are designed to realize the security synchronization of complex networks. Moreover, by virtue of the edge pinning technique, the corresponding secure synchronization problem is considered under the case where only a small fraction of coupling strengths and gains is updated. These designed adaptive strategies do not require any global information, and therefore, the obtained results in this article are developed in a fully decentralized framework. Finally, a numerical example is provided to verify the availability of the achieved theoretical outcomes.
Published in: IEEE Transactions on Neural Networks and Learning Systems ( Volume: 33, Issue: 9, September 2022)
Page(s): 4815 - 4825
Date of Publication: 17 March 2021

ISSN Information:

PubMed ID: 33729953

Funding Agency:

Author image of Dan Liu
College of Information Science and Engineering, Northeastern University, Shenyang, China
Dan Liu received the B.S. degree in applied mathematics from the Northwest University for Nationalities, Lanzhou, China, in 2015, and the M.S. degree in operational research and cybernetics from the China University of Mining and Technology, Xuzhou, China, in 2018. He is currently pursuing the Ph.D. degree in control theory and engineering with Northeastern University, Shenyang, China.
His current research interests includ...Show More
Dan Liu received the B.S. degree in applied mathematics from the Northwest University for Nationalities, Lanzhou, China, in 2015, and the M.S. degree in operational research and cybernetics from the China University of Mining and Technology, Xuzhou, China, in 2018. He is currently pursuing the Ph.D. degree in control theory and engineering with Northeastern University, Shenyang, China.
His current research interests includ...View more
Author image of Dan Ye
College of Information Science and Engineering, Northeastern University, Shenyang, China
State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China
Dan Ye (Senior Member, IEEE) received the B.S. and M.S. degrees in mathematics and applied mathematics from Northeast Normal University, Changchun, China, in 2001 and 2004, respectively, and the Ph.D. degree in control theory and engineering from Northeastern University, Shenyang, China, in 2008.
She was a Lecturer with Northeastern University from 2008 to 2010, where she is currently a Professor with the College of Inform...Show More
Dan Ye (Senior Member, IEEE) received the B.S. and M.S. degrees in mathematics and applied mathematics from Northeast Normal University, Changchun, China, in 2001 and 2004, respectively, and the Ph.D. degree in control theory and engineering from Northeastern University, Shenyang, China, in 2008.
She was a Lecturer with Northeastern University from 2008 to 2010, where she is currently a Professor with the College of Inform...View more

Author image of Dan Liu
College of Information Science and Engineering, Northeastern University, Shenyang, China
Dan Liu received the B.S. degree in applied mathematics from the Northwest University for Nationalities, Lanzhou, China, in 2015, and the M.S. degree in operational research and cybernetics from the China University of Mining and Technology, Xuzhou, China, in 2018. He is currently pursuing the Ph.D. degree in control theory and engineering with Northeastern University, Shenyang, China.
His current research interests include synchronization control, adaptive control, and secure control for complex dynamic networks.
Dan Liu received the B.S. degree in applied mathematics from the Northwest University for Nationalities, Lanzhou, China, in 2015, and the M.S. degree in operational research and cybernetics from the China University of Mining and Technology, Xuzhou, China, in 2018. He is currently pursuing the Ph.D. degree in control theory and engineering with Northeastern University, Shenyang, China.
His current research interests include synchronization control, adaptive control, and secure control for complex dynamic networks.View more
Author image of Dan Ye
College of Information Science and Engineering, Northeastern University, Shenyang, China
State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China
Dan Ye (Senior Member, IEEE) received the B.S. and M.S. degrees in mathematics and applied mathematics from Northeast Normal University, Changchun, China, in 2001 and 2004, respectively, and the Ph.D. degree in control theory and engineering from Northeastern University, Shenyang, China, in 2008.
She was a Lecturer with Northeastern University from 2008 to 2010, where she is currently a Professor with the College of Information Science and Engineering. Her research interests include fault-tolerant control, robust control, adaptive control, and security of cyber-physical systems.
Dan Ye (Senior Member, IEEE) received the B.S. and M.S. degrees in mathematics and applied mathematics from Northeast Normal University, Changchun, China, in 2001 and 2004, respectively, and the Ph.D. degree in control theory and engineering from Northeastern University, Shenyang, China, in 2008.
She was a Lecturer with Northeastern University from 2008 to 2010, where she is currently a Professor with the College of Information Science and Engineering. Her research interests include fault-tolerant control, robust control, adaptive control, and security of cyber-physical systems.View more

References

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