Stability analysis for memristor-based stochastic multi-layer neural networks with coupling disturbance

DOI10.1016/j.chaos.2022.112771OpenAlexW4306783506MaRDI QIDQ2679933

Jianglian Xiang, Junwu Ren, Man-Chun Tan

Publication date: 26 January 2023

Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.chaos.2022.112771

zbMATH Keywords

asymptotic synchronizationmemristor-based neural networkscoupling disturbanceinput-to-state exponential stabilitystochastic multi-layer neural networks

Mathematics Subject Classification ID

Asymptotic stability in control theory (93D20) Control problems involving ordinary differential equations (34H05) Stochastic stability in control theory (93E15) Analytic circuit theory (94C05) Chaos control for problems involving ordinary differential equations (34H10) Circuits in qualitative investigation and simulation of models (94C60)

Related Items (1)

Globally asymptotic stability analysis for memristor‐based competitive systems of reaction–diffusion delayed neural networks

Cites Work

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• Event-triggered hybrid impulsive control on lag synchronization of delayed memristor-based bidirectional associative memory neural networks for image hiding
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• Stochastic exponential synchronization of memristive neural networks with time-varying delays via quantized control
• Stabilization of stochastic delayed networks with Markovian switching and hybrid nonlinear coupling via aperiodically intermittent control

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