Jun 19, 2022 · Abstract. Exponential stability is considered for delay reaction–diffusion cellular neural networks (DRDCNNs) under two cases where the state ...

Nov 1, 2022 · AbstractExponential stability is considered for delay reaction–diffusion cellular neural networks (DRDCNNs) under two cases where the state ...

(2018) designed a generalized intermittent controller to exponentially synchronize the hybrid coupled reaction–diffusion neural networks with time delays. Jiang ...

Mittag-Leffler stabilization is studied for fractional reaction-diffusion cellular neural networks (FRDCNNs) in this paper.

Mittag-Leffler stabilization is studied for fractional reaction–diffusion cellular neural networks (FRDCNNs) in this paper.

Feb 28, 2024 · The stabilization problem of stochastic delayed reaction-diffusion Cohen–Grossberg BAM neural networks (SDRDCGBAMNNs) with impulsive effects ...

Feb 12, 2023 · This paper investigates the synchronization of reaction-diffusion neural networks (RDNNs) with distributed delay via quantized boundary control.

Stability analysis of delayed cellular neural networks ... Boundary intermittent stabilization for delay reaction–diffusion ... delay, which is different from ...

Boundary intermittent stabilization for delay reaction–diffusion cellular neural networks · Computer Science, Engineering. Neural Computing and Applications.

Jan 7, 2020 · In this paper, we deal with the adaptive stochastic synchronization for a class of delayed reaction–diffusion neural networks.