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EXPONENTIAL STABILITY OF DISCRETE-TIME CELLULAR NEURAL NETWORKS WITH DELAYS

EXPONENTIAL STABILITY OF DISCRETE-TIME CELLULAR NEURAL NETWORKS WITH DELAYS
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摘要 In this paper, a new sufficient condition for the global exponential stability of a unique equilibrium point of discrete-time cellular neural networks is given. It is shown that the condition relies on the feedback matrices and is independent of the delay parameter. Furthermore, this condition is less restrictive than those given in the literature. In this paper, a new sufficient condition for the global exponential stability of a unique equilibrium point of discrete-time cellular neural networks is given. It is shown that the condition relies on the feedback matrices and is independent of the delay parameter. Furthermore, this condition is less restrictive than those given in the literature.
出处 《Annals of Differential Equations》 2006年第3期388-393,共6页 微分方程年刊(英文版)
基金 The work is supported by Scientific Research Fund of Hunan Provincial Education Department (03C248).
关键词 discrete-time cellular neural networks global exponential stability DELAYS Lyapunov functionals discrete-time cellular neural networks, global exponential stability, delays, Lyapunov functionals
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