On asymptotic stability of discrete-time non-autonomous delayed Hopfield neural networks
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Publication:971759
DOI10.1016/j.camwa.2008.10.031zbMath1186.39028OpenAlexW2005984797MaRDI QIDQ971759
Dongsheng Zhou, Qiang Zhang, Xiaopeng Wei
Publication date: 16 May 2010
Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.camwa.2008.10.031
Neural networks for/in biological studies, artificial life and related topics (92B20) Stability theory for difference equations (39A30)
Related Items (6)
Nonuniform behavior and stability of Hopfield neural networks with delay ⋮ Robust exponential stability analysis of discrete-time switched Hopfield neural networks with time delay ⋮ Asymptotic behaviors of non-autonomous impulsive difference equation with delays ⋮ Switched exponential state estimation and robust stability for interval neural networks with discrete and distributed time delays ⋮ Exponential stability results of discrete-time stochastic neural networks with time-varying delays ⋮ Existence and global exponential stability of equilibrium for impulsive cellular neural network models with piecewise alternately advanced and retarded argument
Cites Work
- Global exponential stability for discrete-time neural networks with variable delays
- Global exponential stability for nonautonomous cellular neural networks with delays
- Exponential stability of continuous-time and discrete-time cellular neural networks with delays
- Delay-dependent global stability condition for delayed Hopfield neural networks
- A new global stability result for delayed neural networks
- Stability of delayed cellular neural networks
- Cellular neural networks: theory
- CONVERGENCE OF DISCRETE-TIME RECURRENT NEURAL NETWORKS WITH VARIABLE DELAY
- An improved global stability result for delayed cellular neural networks
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