Exponential stability of CohenGrossberg neural networks ?
Exponential stabilities of the CohenGrossberg neural network with and without delays are analyzed. By Liapunov functions/functionals, sufficient conditions are obtained for general exponential stability, while by using a comparison result from the theory of monotone dynamical systems, componentwise exponential stability is also discussed. All results are established without assuming any symmetry of the connection matrix, and the differentiability and monotonicity of the activation functions.
exponential stability neural networks liapunov function/functional comparison componentwise exponential stability quasi-monotonicity