Stability analysis of neural networks with periodic coefficients and piecewise constant arguments
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Publication:1660893
DOI10.1016/j.jfranklin.2015.11.010zbMath1395.93454OpenAlexW2207041403MaRDI QIDQ1660893
Tianhu Yu, Dengqing Cao, Huatao Chen, Shengqiang Liu
Publication date: 16 August 2018
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2015.11.010
Learning and adaptive systems in artificial intelligence (68T05) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05) Control/observation systems governed by ordinary differential equations (93C15)
Related Items (6)
Robust delay-dependent stability of uncertain inertial neural networks with impulsive effects and distributed-delay ⋮ Comparison of two polynomial approaches in performance analysis for periodic piecewise polynomial systems ⋮ Finite-time cluster synchronization of coupled dynamical systems with impulsive effects ⋮ Global exponential periodicity and stability of neural network models with generalized piecewise constant delay ⋮ Periodicity and stability analysis of impulsive neural network models with generalized piecewise constant delays ⋮ Global exponential stability of almost periodic solutions for quaternion-valued RNNs with mixed delays on time scales
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