渐近状态

词组短语

asymptotic behaviour

与渐近状态相关的网络例句 [注：此内容来源于网络，仅供参考]

The attention is focus on presenting the sufficient conditions for the existence of the memoryless state feedback guaranteed cost controller by linear matrix inequality technology, and the design of the guaranteed cost control law such that the closed-loop system is asymptotically stable and has a specified upper bound of the closed-loop cost function value for all admissible uncertainties.

利用线性矩阵不等式技术，给出了保性能控制律存在的充分条件，所设计的无记忆状态反馈保性能控制律，可以使闭环系统渐近稳定，且闭环性能指标在允许的范围内不超过某个确定的上界。

For a simple example of a planar Cartesian manipulator constrained so that the end effector follows an elliptic arc, simulation results show the local asymptotic convergence of the estimated state towards the true state.

对一个简单的平面笛卡儿受限操纵杆例子进行仿真，结果表明该观测器的观测状态渐近趋向于系统的实际状态。

Algorithm application of neural networks.Ⅲ Implementation of neuro-computers. The main contribution of the dissertation can be summarized as follows: 1 Hopf bifurcation of three kind of neural networks are discussed in detail, including type of discrete time delay, type of time delay with weak kernel and strong kernel as well as the proof of existence of bifurcation. Other problems such as asymptotic stability of bifurcation periodic solution, algorithm of determining the bifurcation direction, asymptotic stability and style of periodic solution are also studied. The average time delay is chosen as the bifurcation parameter, phenomena pertinent to system states of the continuous time delay network with strong kernel evolving from stable to oscillating, then back to stable again are observed.

论文的主要创新之处可以归纳如下： 1）针对目前国内外对神经网络的分岔研究较少的情况，论文中详细讨论了带离散时延神经网络、带弱核的连续时延神经网络、带连续分布时延且具有强核的神经网络的Hopf分岔现象，从理论上证明了Hopf分岔的存在性，并研究了分岔周期解的渐近稳定性，得到了确定周期解的渐近稳定性、分岔方向、周期解的渐近形式的算法；用平均时延作为分岔参数，发现带强核的连续时延神经网络中存在着系统的状态由稳定变化到振荡现象，当继续增加平均时延参数时，又从振荡变为稳定这一特殊的动力学现象。

By means of generalized Lyapunov function and linear matrix inequality,the asymptotical stability with zero solution is studied for the system,and a sufficient condition is given such that the system is asymptotically stable with zero solution and also a H∞ norm constraint .

针对非线性离散广义系统研究了状态反馈H∞控制器的设计问题，利用广义Lyapunov函数和线性矩阵不等式，首先对系统的零解渐近稳定问题进行了研究，并在此基础上给出了系统的零解渐近稳定且具有H∞范数约束的充分条件，之后设计了状态反馈H∞控制器，使闭环系统具有同样的性能，最后给出了数值算例说明本文结论的有效性和可行性

The first one is an algorithm with terminal sliding mode equality constraint. The second is a dual-mode control scheme, which enlarge the terminal region. The sliding mode based MPC is implemented while system state is outside of terminal region, and sliding mode variable structure control designed off-line is used once system state arrives in the terminal region.

第一种方法为终端滑模等式约束非线性模型预测控制方法，首先离线设计切换函数使得滑动模态渐近稳定，然后在有限预测时域的基础上对切换函数附加一个终端等式约束；第二种方法为双模控制方案，在终端区外采用模型预测控制，使得系统状态在有限时域内到达终端区内；在终端区内部采用离线设计的滑模变结构控制，使得系统渐近稳定。

Then, it studies the supply chain management system as a complex system to confirm the state existing during operating of the system. After that, it conducts a probability analysis on the state which the system located by applying supplement variable method, and establishes the model of distributed parameter system in a form of partial differential equations. Combining C0 ? semigroup theory in the functional analysis, it conducts a dynamic analysis on the established mathematical model. Using this method, it obtains the mathematical expression of the dynamic solution and the steady state solution, and proves the uniqueness, non-negativity and the asymptotic stability of the system solution. This dissertation applies the Matlab tool and uses two-step, three-step Simpson integral equation to imitate the condition of system solution. Then, it adds possible mode of failure and the optimization adjustment state to the system, based on which it has established the distributed parameter system model which is described by partial differential system of equations. Combining the functional analysis C0 ? semigroup theory, it studies the established mathematical model, and obtains the mathematical expression of the dynamic solution system and the steady state solution. It has proven the existing of uniqueness of the system solution, the asymptotic stability of system solution and the system solution. In addition, it has lying the theory rationale for further analysis and the research on the optimization of system.

本文首先简要综述了供应链理论、可靠性研究、鲁棒性研究以及供应链鲁棒性研究的现状；然后，将供应链系统作为一个复杂系统来分析，确定了系统运行过程中所经历的状态，通过引入补充变量的方法，建立了用偏微分方程组描述的分布参数系统模型，用泛函分析中的C_0 -半群理论得到了系统动态解和稳态解的数学表达式，证明了系统解存在的唯一性、非负性和指数阶渐近稳定性；并借助Matlab工具，利用二阶、三阶辛普森积分方程模拟系统解的性态，并给出系统动态解的仿真图；本文又对上述系统增加了系统可能失效状态和优化调整状态，并在此基础上建立了用偏微分方程组描述的分布参数系统模型，同样用泛函分析中的C_0 -半群理论对所建立的数学模型进行了研究，得到系统动态解和稳态解的数学表达式，证明了系统动态解存在的唯一性、非负性及渐近稳定性，为进一步分析和研究供应链优化奠定了理论基础。

In Chapter 2, by using M-matrix theory, some analysis techniques and constructing suitable Lyapunov functionals, we investigate the convergence of solutions and the existence and uniqueness of periodic solution for system:where ft and g, are the propagational signal functions defined onR.

在第二章中，讨论一类推广的具变时滞和变系数的双向联想记忆神经网络模型的渐近状态。

In Chapter 2, by using M-matrix theory, some analysis techniques and constructing suitable Lyapunov functionals, we investigate the convergence of solutions and the existence and uniqueness of periodic solution for system:where ft and g, are the propagational signal functions defined onR.

在第二章中，讨论一类推广的具变时滞和变系数的双向联想记忆神经网络模型的渐近状态。这里，信号传输函数f_i，g_i(i=1，2，…，n，j=1，2，…，m)是R→R上的连续函数，且满足Lipschitz条件。

Modeling and stability analysis problem of linear switched system are emphasized in this part and main results include:(1) Through investigation in the projection of 〓 on x, where x denotes continuous state vector, a series of sufficient conditions for stability, asymptotic stability and unstability of linear switched system's equilibrium in the sense of Lyapunov are achieved. And also, a sufficient and necessary condition for state bounded stability of linear switched system is received.(2) For a class of periodical linear switched system whose switching sets are a group of ordinal lines starting from the original point, it's proved that state bounded stability can be defined by the running characteristic in a single period (3) Based on linear switched system, the concept of linear switched system network is put forward. Linear switched system network is a complex network interconnected by many linear switched systems.

这部分着重研究线性切换系统的建模与稳定性分析问题，主要成果包括：（1）通过考察〓在x上的投影，得到线性切换系统的平衡点在Lyapunov意义下稳定、渐近稳定及不稳定的一系列充分条件，并得到了线性切换系统状态有界稳定的一个充要条件；（2）证明了对于一类切换集为从原点出发的一组射线的周期线性切换系统，其状态有界稳定可根据一个周期内的系统运行特性来判定；（3）在线性切换系统的基础上提出了线性切换系统网络的概念，线性切换系统网络是由多个线性切换系统交互作用而形成的复杂网络。

By choosing proper coupling parameters,the state of the slave system at time t is asymptotically synchronized with the master at time t-τ.Both theoretical analysis and simulation result show the effectiveness of this method.

通过选择适当的耦合参数，使得响应系统在t时刻的状态渐近地趋向于驱动系统在t-τ时刻的状态，理论分析和数值仿真结果都表明了该方法的有效性。

与渐近状态相关的网络解释 [注：此内容来源于网络，仅供参考]

asymptotic behavior：渐近状态

asymptotic 浙近的 | asymptotic behavior 渐近状态 | asymptotic circle 渐近圆

asymptotic circle：渐近圆

asymptotic behavior 渐近状态 | asymptotic circle 渐近圆 | asymptotic cone 渐近锥面

asymptotic expansion solution：渐近展开解法

asymptotic behaviour 渐近状态 | asymptotic expansion solution 渐近展开解法 | asymptotic orbit 渐近轨道

asymptotic：浙近的

asymptote of curve 曲线的渐近线 | asymptotic 浙近的 | asymptotic behavior 渐近状态

central limit theorem：中央极限定理

概率理论中有个非常重要的基本定理:中央极限定理 (central limit theorem). 它大概的意思是说,在渐近状态下,通常随机变量 Tn 的概率分布 (Probability distribution) 是遵循 Gauss 分布规律的,也就是说,满足条件(i)、(ii)和(iii)的函数 H 恰好具有形式