Novel stability criterion for cellular neural networks: an improved Gu's discretized LKF approach

DOI10.1016/j.jfranklin.2011.09.014zbMath1254.93140OpenAlexW1997115458MaRDI QIDQ1926324

Qi-He Shan, Cheng-De Zheng, Zhan-Shan Wang

Publication date: 28 December 2012

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2011.09.014

zbMATH Keywords

linear matrix inequalitycellular neural networksequilibrium pointglobally asymptotic stabilitycellular neural networks with time-varying delaysdiscretized Lyapunov--Krasovskii functional (LKF)free-weighting matrix methodhomeomorphism mapping principletime delay into several subintervals

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Nonlinear systems in control theory (93C10) Asymptotic stability in control theory (93D20) Large-scale systems (93A15)

Related Items (4)

Parameter-dependent robust stability of uncertain neural networks with time-varying delay ⋮ Effect of leakage time-varying delay on stability of nonlinear differential systems ⋮ Stochastic stability analysis of piecewise homogeneous Markovian jump neural networks with mixed time-delays ⋮ Stability analysis of delayed neural networks with slope-bounded activation functions

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