New delay-dependent exponential stability criteria of BAM neural networks with time delays

DOI10.1016/J.MATCOM.2008.08.014zbMath1162.34353OpenAlexW2044216598MaRDI QIDQ1005210

Degang Yang, Yong Wang, Chunyan Hu, Xiaofeng Liao

Publication date: 9 March 2009

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.matcom.2008.08.014

zbMATH Keywords

exponential stabilitylinear matrix inequalitytime delaysbi-directional associative memory neural networksparameterized first-order model transformation

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Stability theory of functional-differential equations (34K20)

Related Items (3)

Global robust asymptotic stability of variable-time impulsive BAM neural networks ⋮ A new type of recurrent neural networks for real-time solution of Lyapunov equation with time-varying coefficient matrices ⋮ Attracting and invariant sets of non-autonomous reaction-diffusion neural networks with time-varying delays

Cites Work

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• Global exponential stability in continuous-time and discrete-time delayed bidirectional neural networks

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