Coding–decoding-based synchronization of Markov jump neural networks with PDT switched topologies

J Yang, M Xing, J Lou, J Lu - Journal of the Franklin Institute, 2024 - Elsevier
This paper investigates the observer-based synchronization control issue for a class of
discrete-time switched neural networks under the constraint that information exchange …

Security synchronization problem for stochastic complex networks via event-triggered impulsive control with actuation delays

Z Liu, M Luo, J Cheng, I Katib, K Shi - Communications in Nonlinear …, 2024 - Elsevier
This study focused on the security synchronization problem for stochastic complex networks
(SCNs) via event-triggered impulsive control (ETIC) with actuation delays. Firstly …

Quasisynchronization of reaction-diffusion neural networks with time-varying delays by static/dynamic event-triggered control and its application to secure …

Y Cao, N Liu, T Zhang, C Zhang - Neural Computing and Applications, 2024 - Springer
This paper studies the quasisynchronization problems of reaction-diffusion neural networks
(RDNNs) with time-varying delays via event-triggered control. Firstly, a static event-triggered …

Stochastic Synchronization of Impulsive Reaction–Diffusion BAM Neural Networks at a Fixed and Predetermined Time

R Mahemuti, E Kasim, H Sadik - Mathematics, 2024 - mdpi.com
This paper discusses the synchronization problem of impulsive stochastic bidirectional
associative memory neural networks with a diffusion term, specifically focusing on the fixed …

Boundary Controlling Synchronization and Passivity Analysis for Multi-Variable Discrete Stochastic Inertial Neural Networks

Y Yang, T Zhang, Z Li - Axioms, 2023 - mdpi.com
The current paper considers discrete stochastic inertial neural networks (SINNs) with
reaction diffusions. Firstly, we give the difference form of SINNs with reaction diffusions …