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asymptotic stability相关的网络例句

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Lyapunov stability theory was used to prove the asymptotic stability of the closed-loop control system.

对该控制律,利用Lyapunov稳定性定理证明了闭环系统的渐近稳定性。

Sufficient and necessary condition is given for asymptotic stability and exponential stability of one dimension and multi-dimension.

分别给出一维情形和高维情形系统的渐近稳定和指数稳定的充分必要条件。

This proposed method is resulted from the Lyapunov stability theory to ensure the asymptotic stability for the system.

对冗余自由度机器人容错能力的讨论,拓宽了冗余特性的应用范围。

In this thesis, we describe some important properties of the dynamic behaviors of several class of time-discrete models of two neurons, which includes stability, asymptotic stability, the existence and attractability of periodic solutions, Flip-bifurcation and Neimark-Sacker-bifurcation.

本学位论文对几类二元离散神经网络模型的动力学性态进行了定性分析,讨论了这些神经网络模型的稳定性、渐近稳定性、周期解的存在吸引性、Flip-分岔和Neimark-Sacker-分岔,全文共分五章。

In this thesis, we describe some important properties of the dynamic behaviors of several class of time-discrete models of two neurons, which includes stability, asymptotic stability, the existence and attractability of periodic solutions, Flip-bifurcation and Neimark-Sacher-bifurcation.

本学位论文对几类二元离散神经网络模型的动力学性态进行了定性分析,讨论了这些神经网络模型的稳定性、渐近稳定性、周期解的存在吸引性、Flip-分岔和Neimark-Sacker-分岔,全文共分五章。

Therefore,in this thesis, by using of the Lyapunov function ,Lasalles in-variance principle and the analytical technique to construct return mappings[34-36],we describe some important properties of the dynamic behaviors of two class of discrete-time model of two-cell cellular neural networks ,which includes stability,asymptotic stability,the existence and attractability of periodic solutions.

因此,本学位论文利用Lyapunov函数和Lasalle不变集原理以及利用分析技巧构造回复映射等方法对两类二元离散细胞神经网络模型的动力学性态进行定性分析,讨论了这些模型的稳定性、渐近稳定性、周期解的存在吸引性,全文共分三章。

Some useful notations and definitions are give in this chapter.In Chapter 2,a class of discrete-time model of two-cell cellular neural networks with symmetric temptate are investigated. We obtain some results about the stability,asymptotic stability,the existence and attractability of 2-periodic solutions.

第三章讨论了反馈矩阵为非对称矩阵的二元离散细胞神经网络模型的稳定性与渐近稳定性、周期解的存在吸引性,除了得到系统稳定和存在2-周期解的相关结果外,还得到了系统在原点出现类似于Hopf分支的局部分支以及多个吸引4k-周期解的共同存在性。

The asymptoticbehavior of two ecological systems and the unconditionally stability and oscillations in kinds of 4-order delay difference equations are investigated by using analysis method, constructing Lyapunovfunctions, the logarithmic norm, charateristic roots theory and the bifurcation theory. Here, theasymptotic properity includes the uniform persistence, the global attractability of the solutions,the asymptotic stability of the positive solution local or global and the oscillations of solutions.

本文利用定性分析的方法、比较原理、特征值分析法、对数范数、构造Lyapunov函数及分支理论等方法和理论,研究了两类生态模型解的渐近性及一类四阶时滞微分方程解的无条件稳定性,其中包含模型的一致持久生存性、正平衡态的全局吸引性、局部和全局渐近性以及解的振动性等问题。

G. , operator description, L〓 stability and asymptotic stability, and periodic invariance of system, is described, asynchronous learning control is also divided into time-domain methods and frequency-domain ones, and corresponding formulations are strictly derived.

本文其次研究了主要由日本学者提出与发展的迭代与重复自学习控制,并在此基础上,提出了统一的异步自学习控制理论。

We also discussed the estimation of stability region of discrete singular systems with delay, and presented several region estimaitons for uniform stabiity and asymptotic stability, respectively.

我们还研究了离散滞后广义系统稳定域的定量估计,分别给出了系统一致稳定区域和渐进稳定区域的估计公式。

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