In this paper, the global exponential stability of discrete-time neural networks is discussed.
研究了离散时间神经网络的全局指数稳定性问题。
Global exponential stability theorems are given by using a method based on delay differential inequality.
在分析无条件全局指数稳定性时，我们将时滞微分不等式引入到稳定性的研究中。
Chapter 3 introduces global exponential stability of a class of fuzzy BAM neural networks with variable delays.
第三章研究了一类具有变时滞的模糊bam神经网络模型的全局指数稳定性。
The global exponential stability of equilibrium states of a class of nonlinear separated variables systems with bounded time-varying delays was investigated.
讨论了一类具有有界可变时滞分离变量系统平衡点的全局指数稳定性。
The existence of the equilibrium point and global exponential stability of distributed delays neural networks with reaction-diffusion terms are investigated in this paper.
摘要研究了具反应扩散有限连续分布细胞神经网络的平衡点的存在性及全局指数稳定性问题。
Both the global exponential stability and the existence of periodic solutions for a class of recurrent neural networks with continuously distributed delays (RNNs) are studied.
研究了一类具有连续分布延时的反馈神经网络模型的周期解的存在性和全局稳定性。
In Chapter 3, we discuss the existence and global exponential stability of periodic solutions for discrete-time cellular neural network with mixed delays and variable coefficients.
第三章对变系数离散时间混合时滞细胞神经网络模型周期解的存在性与全局指数稳定性进行了讨论。
The global exponential stability of a class of linear interconnected large scale systems with time delays was analyzed based on M matrix theory and by constructing a vector Lyapunov function.
利用M矩阵理论，通过构造适当的向量李雅普诺夫函数，研究一类具有时变时间滞后的线性关联大系统的全局指数稳定性。
The global exponential stability of a class of linear interconnected large scale systems with time delays was analyzed based on M matrix theory and by constructing a vector Lyapunov function.
本文利用M-矩阵理论，应用微分不等式以及拓扑学等有关知识，通过构建向量李雅普诺夫函数，研究了三类时间滞后大系统的指数稳定性以及智能交通系统中车辆纵向跟随控制问题。
Global exponential stability of fuzzy control systems with delays is studied, a nonlinear state feedback controller is designed to ensure the global exponential stability of the closed-loop system.
针对模糊时滞系统，设计了非线性状态反馈控制器以确保闭环系统全局指数稳定。
The global robust exponential stability is investigated for interval neural networks with mixed delay.
讨论了混合时滞区间神经网络的全局鲁棒指数稳定性。
The global robust exponential stability is investigated for interval neural networks with mixed delay.
讨论了混合时滞区间神经网络的全局鲁棒指数稳定性。
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