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Stability analysis of Cohen–Grossberg neural network with both time-varying and continuously distributed delays. (English) Zbl 1108.34060
This paper provides new sufficient conditions for the global exponential stability of the equilibrium for the Cohen-Grossberg neural network with both time-varying and continuous distributed delays. The proofs use the M-matrix theory for constructing proper vector Lyapunov functions. Some previous results are improved and generalized and two illustrative examples are given.
MSC:
34K20Stability theory of functional-differential equations
34B20Weyl theory and its generalizations