Mean-square exponential stabilization of memristive neural networks: Dealing with replay attacks and communication interruptions-Reference-Cited by-同舟云学术

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Mean-square exponential stabilization of memristive neural networks: Dealing with replay attacks and communication interruptions

Published:2024-11 Issue: Volume:138 Page:108188
ISSN:1007-5704
Container-title:Communications in Nonlinear Science and Numerical Simulation
language:en
Short-container-title:Communications in Nonlinear Science and Numerical Simulation

Author:

Xiao Shuai,Wang Zhen^ORCID,Si Xindong,Liu Gang

Publisher

Elsevier BV

Reference43 articles.

1. Neural network-based adaptive event-triggered control for cyber–physical systems under resource constraints and hybrid cyberattacks;Xie;Automatica,2023

2. Event-triggered synchronization of a two-layer heterogeneous neural network via hybrid control;Sun;Commun Nonlinear Sci Numer Simul,2023

3. General decay anti-synchronization and H∞ anti-synchronization of coupled reaction–diffusion complex-valued memristive neural networks;Huang;Commun Nonlinear Sci Numer Simul,2023

4. Quasi-synchronization of discrete-time fractional-order quaternion-valued memristive neural networks with time delays and uncertain parameters;Zhao;Appl Math Comput,2023

5. Quantized control for finite-time synchronization of delayed fractional-order memristive neural networks: The Grönwall inequality approach;Si;Expert Syst Appl,2023

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