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New LMI-based conditions for global exponential stability to a class of Cohen-Grossberg BAM networks with delays
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资源说明：This paper discusses global exponential stability of equilibrium point for a class of Cohen–Grossberg BAM
neural networks with delays. Under the assumptions that the activation functions only satisfy global Lipschitz
conditions and the behaved functions only satisfy signconditions, by applying the linear matrix inequality
(LMI) method, degree theory and some inequality technique,a novel LMI-based sufficient condition is
established for global exponential stability o
neural networks with delays. Under the assumptions that the activation functions only satisfy global Lipschitz
conditions and the behaved functions only satisfy signconditions, by applying the linear matrix inequality
(LMI) method, degree theory and some inequality technique,a novel LMI-based sufficient condition is
established for global exponential stability o
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