TY - GEN
T1 - Analysis and Control for Synchronization of Coupled Reaction-Diffusion Neural Networks with Multistate Couplings Subject to Recoverable Attacks
AU - Zhao, Xin Yu
AU - Ren, Shun Yan
AU - Wang, Jin Liang
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - This paper addresses the synchronization for coupled reaction-diffusion neural networks (CRNNs) with multi-state couplings suffering attacks. By utilizing the Kronecker product, a network synchronization criterion is formulated. Moreover, since networks suffering attacks may not be synchronized in some circumstances, a simple controller is also developed. Finally, the effectiveness of the devised control schemes is verified through a numerical example.
AB - This paper addresses the synchronization for coupled reaction-diffusion neural networks (CRNNs) with multi-state couplings suffering attacks. By utilizing the Kronecker product, a network synchronization criterion is formulated. Moreover, since networks suffering attacks may not be synchronized in some circumstances, a simple controller is also developed. Finally, the effectiveness of the devised control schemes is verified through a numerical example.
UR - https://www.scopus.com/pages/publications/85174680858
U2 - 10.1109/CYBER59472.2023.10256456
DO - 10.1109/CYBER59472.2023.10256456
M3 - 会议稿件
AN - SCOPUS:85174680858
T3 - Proceedings of 13th IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2023
SP - 1010
EP - 1015
BT - Proceedings of 13th IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2023
Y2 - 11 July 2023 through 14 July 2023
ER -