Boundedness and stability of nonautonomous cellular neural networks with reaction-diffusion terms
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Publication:1005203
DOI10.1016/j.matcom.2008.07.008zbMath1171.35326OpenAlexW2094488735MaRDI QIDQ1005203
Publication date: 9 March 2009
Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.matcom.2008.07.008
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Related Items (6)
Exponential stability and periodicity of fuzzy delayed reaction-diffusion cellular neural networks with impulsive effect ⋮ Stability analysis for impulsive stochastic fuzzy \(p\)-Laplace dynamic equations under Neumann or Dirichlet boundary condition ⋮ Multiple \(\mu \)-stability and multiperiodicity of delayed memristor-based fuzzy cellular neural networks with nonmonotonic activation functions ⋮ Stability analysis of stochastic reaction-diffusion Cohen-Grossberg neural networks with time-varying delays ⋮ Attracting and invariant sets of non-autonomous reaction-diffusion neural networks with time-varying delays ⋮ A new inequality of \(\mathcal{L}\)-operator and its application to stochastic non-autonomous impulsive neural networks with delays
Cites Work
- Global exponential stability of reaction-diffusion recurrent neural networks with time-varying delays
- Global robust stability of delayed recurrent neural networks
- On global exponential stability of cellular neural networks with Lipschitz-continuous activation function and variable delays
- Exponential stability of continuous-time and discrete-time cellular neural networks with delays
- Exponential periodicity and stability of delayed neural networks
- Stability of artificial neural networks with impulses
- Global exponential robust stability of reaction-diffusion interval neural networks with time-varying delays
- Boundedness and exponential stability for nonautonomous cellular neural networks with reaction-diffusion terms
- Global asymptotic stability analysis for cellular neural networks with time delays
- Global stability analysis of a class of delayed cellular neural networks
- New conditions for global exponential stability of cellular neural networks with delays
- Cellular neural networks: theory
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