Global exponential stability of high-order Hopfield neural networks with state-dependent impulses
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Publication:2137665
DOI10.1016/j.physa.2019.123434OpenAlexW2983259454WikidataQ115567842 ScholiaQ115567842MaRDI QIDQ2137665
Qiangqiang Zhang, Chuandong Li, Hong-fei Liu, Zhi Long He
Publication date: 16 May 2022
Published in: Physica A (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.physa.2019.123434
exponential stabilityhigh-order Hopfield neural networksstate-dependent impulsesB-equivalence method
Related Items (10)
Periodic solutions of Cohen-Grossberg-type bi-directional associative memory neural networks with neutral delays and impulses ⋮ Existence and global asymptotic stability criteria for nonlinear neutral-type neural networks involving multiple time delays using a quadratic-integral Lyapunov functional ⋮ Stability analysis of state-dependent impulsive systems via a new two-sided looped functional ⋮ 𝒮‐asymptotically 𝓌‐periodic mild solutions for noninstantaneous impulsive integro‐differential equations with state‐dependent delay ⋮ Mean square exponential stabilization analysis of stochastic neural networks with saturated impulsive input ⋮ Exponential stability of delayed nonlinear systems with state-dependent delayed impulses and its application in delayed neural networks ⋮ Local synchronization of nonlinear dynamical networks with hybrid impulsive saturation control inputs ⋮ Global exponential synchronization of high-order quaternion Hopfield neural networks with unbounded distributed delays and time-varying discrete delays ⋮ Existence of solutions for fractional instantaneous and non-instantaneous impulsive differential equations with perturbation and Dirichlet boundary value ⋮ A brief survey on stability and stabilization of impulsive systems with delayed impulses
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