Global Exponential Stability of Complex-Valued Neural Networks With Proportional Delays
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摘要: 研究了带有比例时滞的复值神经网络全局指数稳定性问题.借助向量Lyapunov函数思想和同胚映射原理, 并使用M-矩阵理论和不等式技巧,建立了网络平衡点存在性、唯一性和全局指数稳定性的判定条件.Abstract: The global exponential stability of complex-valued neural networks with proportional delays was investigated. By means of the vector Lyapunov function theory, the homomorphic mapping theorem, the M-matrix theory and the inequality technique, a delay-independent sufficient condition was obtained to ensure the existence, uniqueness and global exponential stability of the considered neural networks.
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