New Predefined-Time Stability Theorem and Applications to the Fuzzy Stochastic Memristive Neural Networks with Impulsive Effects

Author:

Zhao HuiORCID,Zhou Lei,Wang Qingjie,Niu Sijie,Gao Xizhan,Zong Xiju

Publisher

Springer Nature Singapore

Reference26 articles.

1. Liu, J., Shu, L., Chen, Q., Zhong, S.: Fixed-time synchronization criteria of fuzzy inertial neural networks via Lyapunov functions with indefinite derivatives and its application to image encryption. Fuzzy Sets Syst. 459, 22–42 (2023)

2. Shanmugam, L., Mani, P., Rajan, R., Joo, Y.H.: Adaptive synchronization of reaction-diffusion neural networks and its application to secure communication. IEEE Trans. Cybern. 50(3), 911–922 (2018)

3. Zhou, C., Wang, C., Yao, W., Lin, H.: Observer-based synchronization of memristive neural networks under DoS attacks and actuator saturation and its application to image encryption. Appl. Math. Comput. 425, 127080 (2022)

4. Yao, W., Wang, C., Sun, Y., Gong, S., Lin, H.: Event-triggered control for robust exponential synchronization of inertial memristive neural networks under parameter disturbance. Neural Netw. 164, 67–80 (2023)

5. Zhao, M., Li, H.L., Zhang, L., Hu, C., Jiang, H.: Quasi-synchronization of discrete-time fractional-order quaternion-valued memristive neural networks with time delays and uncertain parameters. Appl. Math. Comput. 453, 128095 (2023)

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