Stability analysis of impulsive stochastic Cohen–Grossberg neural networks driven by G-Brownian motion

DOI10.1080/00207179.2017.1328745zbMath1397.93223OpenAlexW2612261103MaRDI QIDQ5375893

Qing Zhou, Yong Ren, Yuanfang Gu

Publication date: 17 September 2018

Published in: International Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207179.2017.1328745

zbMATH Keywords

\(G\)-Brownian motiondecay function\(p\)th moment stabilitystochastic Cohen-Grossberg neural network\(G\)-Lyapunov functionquasi-sure stability

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Brownian motion (60J65) Stochastic stability in control theory (93E15)

Related Items (5)

Delay feedback stabilisation of stochastic differential equations driven by G-Brownian motion ⋮ Quasi sure exponential stabilisation of impulsive stochastic complex networks under a sublinear expectation framework ⋮ Robust stability and boundedness of stochastic differential equations with delay driven by G-Brownian motion ⋮ On boundedness and convergence of solutions for neutral stochastic functional differential equations driven by G-Brownian motion ⋮ Stability analysis of Hopfield neural networks with unbounded delay driven by G-Brownian motion

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