Journal
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
Volume 33, Issue 9, Pages 4815-4825Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNNLS.2021.3061137
Keywords
Synchronization; Couplings; Complex networks; Adaptive systems; Pins; Trajectory; Laplace equations; Complex networks; decentralized adaptive control; link attacks; secure control; synchronization
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Funding
- National Natural Science Foundation of China [61773097, U1813214]
- Liaoning Revitalization Talents Program [XLYC1907035]
- Fundamental Research Funds for the Central Universities [N2004027]
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This article explores the pinning synchronization problem under link attacks by using edge-based decentralized adaptive schemes, with two update strategies designed. These strategies, which do not require global information, address secure synchronization in complex networks through edge pinning technique.
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.
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