Analysis for Global Robust Stability of Cohen-Grossberg Neural Networks with Multiple Delays
Analysis for Global Robust Stability of Cohen-Grossberg Neural Networks with Multiple Delays
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DOI：
10.1007/978-3-540-28647-9_17
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发表时间：
2004-08
期刊：
影响因子：
--
通讯作者：
C. Ji;Huaguang Zhang;Hua-Feng Guan
中科院分区：
文献类型：
--
作者：
C. Ji;Huaguang Zhang;Hua-Feng Guan
Global Robust stability of a class of Cohen-Grossberg neural networks with multiple delays and parameter perturbations is analyzed. The sufficient conditions for the globally asymptotic stability of equilibrium point are given by way of constructing a suitable Lyapunov functional. Combined with the linear matrix inequality (LMI) technique, a practical corollary is derived. All results are established without assuming any symmetry of the interconnecting matrix, and the differentiability and monotonicity of activation functions.
