Boundedness and global exponential stability for generalized Cohen–Grossberg neural networks with variable delay
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摘要
A generalized Halanay inequality is established, and the boundedness of generalized Cohen–Grossberg neural networks is investigated. By applying the generalized Halanay inequality and Lyapunov functional method, new sufficient conditions are obtained ensuring the global exponential stability of the solution of the generalized Cohen–Grossberg neural networks with variable delay. Three examples are also given for illustration.
论文关键词：Cohen–Grossberg neural networks,Global exponential stability,Halanay inequality,Dini derivative
论文评审过程：Available online 3 June 2005.
论文官网地址：https://doi.org/10.1016/j.amc.2005.02.009
