The robust exponential stability in mean square of the system is analyzed.
分析了该系统的鲁棒均方指数稳定性。
Some new criteria on globally exponential stability of the networks are obtained.
并且由此定理获得该类网络全局指数稳定的几个判据。
The exponential stability for the viscoelastic plate with dynamical boundary conditions;
具动态边界条件的粘弹性薄板的指数稳定性；
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。
This paper discusses the exponential stability of periodic solution for impulsive neural networks.
本文讨论了一类脉冲神经网络的周期解的指数稳定性。
This paper studies the problem of globally exponential stability for the cellular neural networks.
主要考察了一类动态系统——带有不同时间尺度竞争神经网络的全局指数稳定性问题。
And the algebraic criteria of exponential stability and almost sure exponential stability are given.
给出系统均方指数稳定和几乎必然指数稳定的代数判据。
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。
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 almost surely exponential stability of stochastic recurrent neural networks with time-varying delays is investigated.
研究了一类随机变时滞递归神经网络的几乎指数稳定性问题。
The sufficient condition to the exponential stability of the networked control system is derived from the conclusion of the ADSs.
利用异步动态系统的相关结论，给出网络控制系统指数稳定的充分条件。
In this paper, the robust exponential stability in mean square for a class of linear stochastic uncertain control systems is dealt with.
本文中讨论了一类具有不确定性的线性随机控制系统的均方指数稳定性问题。
The stable type space is defined and a characteristic property on exponential stability of C_0 semigroups is given in this kind of spaces.
本文给出稳定型空间的定义，给出C_0半群在这类空间上指数稳定的充要条件。
The problem of exponential stability and robust stability for a class of discrete-time neural network with time-varying delay is investigated.
研究了一类时滞离散神经网络指数稳定及鲁棒稳定问题。
Next, based on the basic knowledge of neutral delay systems, the problem of exponential stability of linear neutral delay systems is studied .
其次，研究了线性中立型时滞系统的指数稳定性问题。
Numerical examples show that the negative semi-definite matrix condition of exponential stability and the controller design method are feasible.
数值算例说明指数稳定的半负定矩阵条件和控制器设计方法是可行的。
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 robustness of the optimal controller for uncertain parameters of systems and the algebraic criteria of exponential stability in mean square are obtained.
得出了最优控制器关于结构不确定性的鲁棒性质。给出了系统的均方指数镇定的代数判据。
Based on the Lagrange formula with constants variables, some new sufficient conditions for ensuring globally exponential stability of such systems are derived.
基于拉格朗日常数变易法，给出这类系统全局指数稳定的一个充分条件。
The first order approximation of the partial exponential stability of nonlinear time-varying systems is investigated by linearization approach of nonlinear systems.
通过非线性系统的线性化方法，讨论了一类非线性时变微分系统的解关于部分变量指数稳定的一次近似。
Besides, our paper has discussed another problem, which is the non - exponential stability of infinite - dimensional linear systems under generating compact perturbation.
另外，本文还讨论了第二个问题，就是无限维线性系统在生成的紧扰动下的非指数稳定性。
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。
In this paper, a tree-shaped network of strings equipped with velocity feedback controllers is considered, and the exponential stability of the closed-loop system is obtained.
研究树形弦网络在速度反馈控制下的指数稳定性及其控制器的有效性。
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 exponential stability problem is addressed in this paper for a class of switched systems with interval time-varying delay where the delay parameters are variable in a time interval.
研究了一类区间变时滞切换系统的指数稳定问题，其特点是变时滞参数的下界可以在一个时间区间内变化。
With this new approach, some sufficient conditions for the exponential stability of nonlinear systems are obtained, and the exponential decay estimation oft he solution is also proposed.
借助这一新方法，得到了非线性系统指数稳定的充分条件，并给出了解的指数衰减估计。
This paper investigates the absolute exponential stability of generalized neural networks with a general class of partially Lipschitz continuous and monotone increasing activation functions.
本文研究了一类具偏李·普希兹连续和单调增加激活函数的神经网络绝对指数稳定性问题。
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。
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