Asymptotic and robust mean square stability analysis of impulsive high-order BAM neural networks with time-varying delays
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Publication:2312507
DOI10.1007/s00034-017-0706-3zbMath1421.34047OpenAlexW2767555827MaRDI QIDQ2312507
Publication date: 17 July 2019
Published in: Circuits, Systems, and Signal Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00034-017-0706-3
linear matrix inequalityLyapunov functionalsglobally robust stabilityimpulsive bidirectional neural networks
Neural networks for/in biological studies, artificial life and related topics (92B20) Functional-differential equations with impulses (34K45) Robust stability (93D09) Stability theory of functional-differential equations (34K20)
Related Items (5)
Stability of traveling waves solutions for nonlinear cellular neural networks with distributed delays ⋮ Quasi-synchronization of heterogeneous neural networks with distributed and proportional delays via impulsive control ⋮ Novel criteria for exponential stability in mean square of stochastic functional differential equations ⋮ Delay-dependent and independent state estimation for BAM cellular neural networks with multi-proportional delays ⋮ Stability and stabilization for stochastic Cohen‐Grossberg neural networks with impulse control and noise‐induced control
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