渐近的

Considering a spherical porous carbon particle immersed in a static ambient atmosphere, the combustion characteristics under three basic conditions: frozen flow, equilibrium flow, partial flow are solved in a half-analytical and half-numerical way. By using the LAEA (Large Activation Energy Asymptotic Method), the departure value of some parameters such as combustion rate, temperature, and concentration are obtained. On this basis, the rules of a carbon particle combustion under various conditions when the gas phase Damk〓hler number is in the range of 0,+∞ are summarized.

建立氧化性环境中相对静止的多孔炭粒燃烧的控制方程，采用半解析、半数值方法求解出炭粒在冻结流、部分流、平衡流三种基本情况下的燃烧规律，并采用大活化能渐近匹配方法，计算出偏离冻结流、偏离平衡流情况下燃烧速率、温度及组分浓度等参数的偏离解，进而总结出炭粒在气相Damk〓hler数为0，∞整个范围内燃烧特性变化规律。

In order to reduce the number of nodes as much as possible for 3-D ironless PM motor structure, the first-order and the second-order ABCs operators for box-shaped and cylinder-shaped truncating boundary conditions are derived according to the structure of ironless PM motor.

为了尽可能减少节点的数量，结合无铁心永磁电机的具体结构，推导了适合于盒形截断边界和圆柱形截断边界上简便易行的一阶和二阶标量渐近边界条件算子，该算子具有简单、有限元实施容易的特点。

Finally, the magnetic fields of three ironless PM motor prototypes, in which the experiment data have been obtained, are calculated and analysed. The calculated magnetic fields coincide with the experiment data. So the effectiveness and practicability of the ABCs method solving 3D open region problems are verified.

第四部分针对具有试验数据的三种结构的无铁心永磁电机样机进行了计算和分析，计算结果与试验数据吻合，从而验证了渐近边界条件法处理三维开域磁场问题的有效性和实用性。

The regularities of magnetic field spatial distribution of ironless PM motor with Halbach array are generalized. Thirdly, magnetic fields of different topology Halbach array motor are investigated comparatively by a large number of calculations.

利用渐近边界条件法，定量地计算了在定转子均无铁心的情况下电机内部及周围磁场的大小，总结出了Halbach阵列无铁心永磁电机磁场的空间分布规律。

Using the concept of Quadratic Stability and the approaches of predictive control, such as finite horizon and horizon receding, memoryless robust control and sufficient conditions of its existence and closed-loop stability are presented.

采用二次型稳定的概念，并借用预测控制中的时域有限及时域滚动的方法，给出了无记忆鲁棒控制律，并给出了其存在和使闭环系统渐近稳定的充分条件。

The book presents asymptotic expansions of Feynman integrals in various limits of momenta and masses, and their applications to problems of physical interest .

书提出范曼积分在冲力和群众，和他们应用在物质兴趣的问题的各种各样限制内的渐近扩大。

The approximation solution of the biomathematical model of muscular blood vessel under the condition of the nonresonant case is obtained. The expansion method for two variables of perturbation theory is used and the approximation solutions are given to the biomathematical model of muscular blood vessel under two cases.

求得了具有小阻尼、硬外激励的肌型血管生物数学模型在非共振情形下的一次近似解，并利用两变量展开法，经方程演化，求得了具有小阻尼、弱外激励的肌型血管生物数学模型在非共振和共振两种情况下的首次渐近解。

In the chapter 5, firstly, the robust decentralized tracking for a class of nonlinear parametrical composite systems with similarity is considered. The corresponding asymptotically stable controller is obtained.

第五章首先对一类非线性参数化的相似组合系统的鲁棒分散跟踪问题作了探讨，给出了渐近稳定控制器的设计方案。

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。

Recall that, in the Kolmogorov axiomatization, measurable sets are the sets which have a probability or, in other words, the sets corresponding to yes/no questions that have a probabilistic answer.

延期开工的Kolmogorov宣布要衡量所有套职能有限许多坐标限制在于衡量子寅。换句话说，如果是/否的问题回答f可看的价值观念在许多最有限坐标，然后它有一个概率的答案。

The experimental results showed that the algorithm can filter singular points and remain fixity of the target edge.

实验表明：基于模糊理论的图像智能滤波方法比常规图像滤波方法运算量小，它既能去除奇异点，又能保持图像中目标的边缘不变性，具有很好的滤波效果。