Global exponential asymptotic stability of RNNs with mixed asynchronous time-varying delays
DOI10.1186/S13662-020-02648-3zbMath1482.92017OpenAlexW3032045033WikidataQ115518502 ScholiaQ115518502MaRDI QIDQ2078149
Publication date: 25 February 2022
Published in: Advances in Difference Equations (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1186/s13662-020-02648-3
exponential stabilityrecurrent neural networksequilibrium pointmixed asynchronous time-varying delay
Dynamical systems in biology (37N25) Neural networks for/in biological studies, artificial life and related topics (92B20) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05) Robust stability (93D09) Stability theory of functional-differential equations (34K20)
Uses Software
Cites Work
- On global asymptotic stability of neural networks with discrete and distributed delays
- Robust stability analysis of generalized neural networks with discrete and distributed time delays
- On global stability criterion for neural networks with discrete and distributed delays
- Global asymptotic stability for cellular neural networks with discrete and distributed time-varying delays
- Exponential stability of recurrent neural networks with time-varying discrete and distributed delays
- Forecasting wind speed with recurrent neural networks
- Review of stability and stabilization for impulsive delayed systems
- Synchronization of memristive neural networks with mixed delays via quantized intermittent control
- Persistence of delayed cooperative models: impulsive control method
- Boundedness and global robust stability analysis of delayed complex-valued neural networks with interval parameter uncertainties
- Output tracking control of delayed switched systems via state-dependent switching and dynamic output feedback
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