A novel summation inequality for stability analysis of discrete-time neural networks

DOI10.1016/j.cam.2016.03.006zbMath1339.26058OpenAlexW2300669339MaRDI QIDQ273414

Feng-Xian Wang, Yan-Jun Shu, Xin-Ge Liu

Publication date: 22 April 2016

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2016.03.006

zbMATH Keywords

stabilityneural networksdiscrete Wirtinger inequalitysummation inequality

Mathematics Subject Classification ID

Asymptotic stability in control theory (93D20) Inequalities for sums, series and integrals (26D15)

Related Items (7)

Further results on exponential stability of discrete‐time BAM neural networks with time‐varying delays ⋮ A new approach based on discrete-time high-order neural networks with delays and impulses ⋮ A nonsingular M-matrix-based global exponential stability analysis of higher-order delayed discrete-time Cohen-Grossberg neural networks ⋮ Event-triggered \(H_\infty\) synchronization for switched discrete time delayed recurrent neural networks with actuator constraints and nonlinear perturbations ⋮ New results on stability for a class of fractional-order static neural networks ⋮ Novel delay-dependent stability criteria for discrete-time neural networks with time-varying delay ⋮ Stability and synchronization analysis of neural networks via Halanay-type inequality

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