New results on global asymptotic stability analysis for neural networks with time-varying delays
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Publication:1003300
DOI10.1016/j.nonrwa.2007.08.025zbMath1154.34351OpenAlexW2035272547MaRDI QIDQ1003300
Lei Guo, Tao Li, Chong Lin, Chang-Yin Sun
Publication date: 27 February 2009
Published in: Nonlinear Analysis. Real World Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.nonrwa.2007.08.025
Neural networks for/in biological studies, artificial life and related topics (92B20) Global stability of solutions to ordinary differential equations (34D23)
Related Items (6)
EXPONENTIAL STABILITY OF STOCHASTIC FUZZY CELLULAR NEURAL NETWORKS WITH DISTRIBUTED DELAYS ⋮ Improved delay-dependent exponential stability for uncertain stochastic neural networks with time-varying delays ⋮ New stability criteria for neural networks with time-varying delays ⋮ State estimation for Markovian jumping recurrent neural networks with interval time-varying delays ⋮ Delay-range dependent stability criteria for neural networks with Markovian jumping parameters ⋮ Exponential stability criteria for discrete-time recurrent neural networks with time-varying delay
Cites Work
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- Novel delay-dependent robust stability criterion of delayed cellular neural networks
- Delay-dependent robust stability criteria for uncertain neutral systems with mixed delays
- LMI-based stability criteria for neural networks with multiple time-varying delays
- Augmented Lyapunov functional and delay-dependent stability criteria for neutral systems
- Global exponential stability and periodicity of recurrent neural networks with time delays
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- New Delay-Dependent Stability Criteria and Stabilizing Method for Neutral Systems
- On Equivalence and Efficiency of Certain Stability Criteria for Time-Delay Systems
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