Stochastic synchronization of neural networks with multiple time-varying delays and Markovian jump

DOI10.1016/j.jfranklin.2014.12.024zbMath1307.93391OpenAlexW2032047406MaRDI QIDQ2263603

Jun Yang, Xianghui Zhou, Xiantao Hu, Wu-Neng Zhou

Publication date: 19 March 2015

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2014.12.024

zbMATH Keywords

neural networksMarkovian jumpmultiple time-varying delays\(M\)-matrix techniquestochastic synchronization problem

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Stochastic systems in control theory (general) (93E03)

Related Items (6)

Exponential synchronization for stochastic neural networks driven by fractional Brownian motion ⋮ Synchronization for stochastic semi-Markov jump neural networks with dynamic event-triggered scheme ⋮ A novel synchronization control with index adjuster for stochastic neural networks via trace similarity ⋮ The \(p\)th moment boundedness of stochastic functional differential equations with Markovian switching ⋮ State estimation for semi-Markovian switching CVNNs with quantization effects and linear fractional uncertainties ⋮ Stability analysis based on partition trajectory approach for switched neural networks with fractional Brown noise disturbance

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