Global exponential stability of impulsive cellular neural networks with time-varying delays via fixed point theory
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Publication:2360475
DOI10.1186/1687-1847-2013-23zbMath1376.92008OpenAlexW2134297218WikidataQ59301901 ScholiaQ59301901MaRDI QIDQ2360475
Publication date: 4 July 2017
Published in: Advances in Difference Equations (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1186/1687-1847-2013-23
Neural networks for/in biological studies, artificial life and related topics (92B20) Fixed-point theorems (47H10) Stability theory of functional-differential equations (34K20) Stochastic functional-differential equations (34K50) Neutral functional-differential equations (34K40)
Related Items (11)
Exponential stability for a stochastic delay neural network with impulses ⋮ A new approach based on discrete-time high-order neural networks with delays and impulses ⋮ Global exponential stability of a class of impulsive recurrent neural networks with proportional delays via fixed point theory ⋮ Exponential stability of impulsive delayed reaction-diffusion cellular neural networks via Poincaré integral inequality ⋮ Stability of impulsive Cohen-Grossberg neural networks with time-varying delays and reaction-diffusion terms ⋮ Stability analysis of impulsive stochastic reaction-diffusion cellular neural network with distributed delay via fixed point theory ⋮ Global asymptotic stability of impulsive CNNs with proportional delays and partially Lipschitz activation functions ⋮ LMI-based stability criterion of impulsive T-S fuzzy dynamic equations via fixed point theory ⋮ Global asymptotic stability of CNNs with impulses and multi-proportional delays ⋮ Inequalities and \(p\)th moment exponential stability of impulsive delayed Hopfield neural networks ⋮ Fixed points and \(p\)th moment exponential stability of stochastic delayed recurrent neural networks with impulses
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