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控制理论与应用 2005
Robust stability of Hopfield neural networks with multiple time-delay and estimation of the domain of attraction
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Abstract:
Robust stability of a class of Hopfield neural network model with parameter perturbations and multiple time-delay is analyzed by constructing a suitable Lyapunov functional and sector conditions.The sufficient condition for the asymptotic stability of equilibrium point is given.By the definition and properties of matrix norm,a corollary expressed in the form of norm is derived.An estimating method of the domain of attraction for equilibrium point is obtained.The simulation results have proved the effectiveness of the conclusions.