Global exponential robust stability of interval cellular neural networks with S-type distributed delays
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Publication:969889
DOI10.1016/j.mcm.2009.04.016zbMath1185.34110OpenAlexW2006099763MaRDI QIDQ969889
Publication date: 8 May 2010
Published in: Mathematical and Computer Modelling (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.mcm.2009.04.016
S-type distributed delaysglobal exponential robust stabilityinterval cellular neural networksLiapunov functional with Lebesgue-Stieltjes integration
Stability theory of functional-differential equations (34K20) Dichotomy, trichotomy of solutions to ordinary differential equations (34D09)
Related Items (6)
Robust stochastic stability analysis for uncertain neutral-type delayed neural networks driven by Wiener process ⋮ Global robust exponential stability for Hopfield neural networks with non-Lipschitz activation functions ⋮ Robust exponential stability for interval neural networks with delays and non-Lipschitz activation functions ⋮ Global robust stability of switched interval neural networks with discrete and distributed time-varying delays of neural type ⋮ General criteria for asymptotic and exponential stabilities of neural network models with unbounded delays ⋮ Novel criteria on global robust exponential stability to a class of reaction-diffusion neural networks with delays
Cites Work
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- Global exponential stability of Hopfield reaction-diffusion neural networks with time-varying delays
- Global asymptotic robust stability of static neural network models with \(S\)-type distributed delays
- Cellular neural networks: theory
- Global asymptotic stability of bidirectional associative memory neural networks with S-type distributed delays
- New conditions for global stability of neural networks with application to linear and quadratic programming problems
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