种植密度是影响作物生产效率的关键因素之一，因此将渐近模型(方程1)应用到阿根廷的花生种植密度决策中。
Optimum plant density affects the use efficiency of crops production factors. To define it on peanut in Argentina we applied asymptotic model (Eq. 1).
离散时间收敛系统是研究离散时间线性模型渐近理论的重要工具。
Discrete time convergence system is an important tool for investigating the asymptotic theory of linear model in discrete time.
证明新模型的基本图，即车流渐近稳态的平均速度与道路上的车辆密度之间的函数关系与FI模型的完全相同。
It is proved that the fundamental diagram of the average traffic flow speed as the function of the car density for the new model is exactly the same as for fi model.
应用形式渐近分析和拉普拉斯变换，我们从三维线性粘弹性方程组得到二维线性粘弹性弯壳的数学模型。
By applying formal asymptotic analysis and Laplace transformation, we obtain two-dimensional model system of linearly viscoelastic "flexural" shell from three-dimensional equations.
本文构造了非线性模型中参数的经验欧氏似然比统计量，并证明了该似然估计的强相合性和渐近正态性。
In this paper, empirical Euclidean likelihood ratio statistics are constructed for parametric in a nonlinear model. And prove strong consistency and asymptotic normality of the estimation.
无限区间上s -分布时滞广义递归神经网络模型概周期解的全局渐近稳定性。
Global asymptotic stability of general recurrent neural network models with S-type distributed delays on infinite intervals.
本文利用弹-粘-塑性材料力学模型，对动态扩展裂纹尖端的指数奇异性和对数奇异性进行了渐近分析。
An elastic viscoplastic material model was adopted to the asymptotic analysis on power law and logarithmic singularity of dynamic growing crack tip.
采用弹粘塑性力学模型，对扩展裂纹尖端的应力和应变场进行了渐近分析。
An elastic_viscoplastic model is adopted to investigate asymptotically the stress and strain fields at a propagating crack_tip.
摘要针对一类能够由中立型变延迟非线性微分方程描述的神经网络模型，给出了全局渐近稳定的不依赖于时间延迟的充分条件。
A sufficient condition guaranteeing the global asymptotical stability of the equilibrium point is derived for a class of neural network models with variable delay and neutral type delay.
文中给出了这一非线性振动模型的微分方程，并用奇异摄动法求得了渐近解。
This paper also gives the differential equation of the nonlinear vibration model, and obtains its asymptotic solution by means of singular perturbation methods.
第三章研究信号函数为分段常数非线性函数时模型解的渐近行为。
In the last chapter we study the asymptotic behavior of solutions to the model when the signal function is a nonlinear constant function.
研究了一般的具有周期环境扩散种群模型的渐近性态。
The asymptotical behavior of population models with diffusion is studied.
分析了离散时间线性系统模型参数估计误差的收敛性和收敛速度，对参数估计误差服从渐近正态分布的一些条件进行了讨论。
The convergent property and convergent rate of parameter estimation error are analyzed . Some sufficient conditions are given to guarantee the asymptotic normality of parameter estimation error.
本文研究标的资产价格过程服从跳扩散模型时美式期权价格及其最佳实施边界当到期日趋于无穷大时的渐近分析。
The intent of this paper is to discuss the critical property of price and optimal exercise boundary of American option when the expiry date runs to infinite in a jump-diffusion model.
当大系统的输入函数的初始参数发生偏离时，其最优简化模型的近似模型可以利用输入函数的渐近展开得到。
When parameters of the input of a large scale system deviate, its approximate reduced order model can be obtained by using the asymptotic expansion of the input function.
在适当的条件下证明了EB估计的渐近最优性，给出了模型的特例和推广。
The asymptotically optimality of the EB estimators are obtained under some suitable conditions, and the special cases and the generalizations of the model are shown.
应用动态模型库技术来建立多模型，并证明该算法能够保证闭环系统的稳定性和跟踪误差的渐近收敛性。
At the same time dynamic model bank is applied to establish models bank without the prior system information. The closed-loop system stability and track error convergence asymptotically are proved.
文章采用渐近分析的方法求出了具有初始血栓层的该模型时间内解和外解，且该时间外解近似于相似性解给出的血栓的生长速度。
In this paper, we adopt the asymptotic analysis, get the time inner and outer solution of this model, and this time outer solution approximate the similarity solution.
本文研究了在相当弱的条件下工业过程稳态模型估计误差的渐近正态性。
This paper investigates the asymptotic normality of the estimation error of steady-state models of industrial processes in quite mild conditions.
本文最后给出，当角频率有偏离时，其最优简化模型可以利用正弦输入函数的渐近展开式作相应的改变的结论。而且这种方法也适用于其它输入函数的参数偏离时的情形。
If a parameter in the inputs of the original large scale system deviates, the corresponding reduced order model can be changed by using the asymptotic expansion of the input functions.
研究了一类ENSO摄动模型。利用摄动理论和方法，构造了相应问题的渐近展开式。
A class of ENSO perturbed model is studied. Using the perturbation theory and method, the asymptotic expansions of solution of corresponding problem are constructed.
本文的第二章得到了多重延迟更新风险模型中的破产概率的渐近表达式。
Chapter 2 delivers asymptotic forms for ruin probabilities in the multi-delayed renewal risk model with large claims as well as light tails.
针对高精度机械伺服系统，提出一种高性能的新型自适应滑模控制方法，使闭环系统渐近跟踪给定的参考模型。
This paper presents a novel high-performance adaptive sliding mode control scheme for high precision mechanical servo systems to asymptotically track a specified reference model.
同时给出了在模型失配情况下保证闭环系统全局渐近稳定的预报长度范围和模型失配上限值。
Under model plant mismatch the robustly asymptotic stability and global convergence of the resulting closed loop system are guaranteed by selecting proper prediction horizon.
在模型的部分不确定上界未知时修改了控制器，并得出全局渐近收敛的结果。
Moreover, when the upper bounds of some uncertainties are unknown, the control is revised to guarantee globally asymptotical stabilization.
在本文中，我们对从信息论准则AIC选择出的模型给出了渐近分布和渐近概率。
In this paper, the asymptotic distribution and the asymptotic probability of the selected model by using the information criteria AIC are obtained.
为了更好地应用于时滞过程，利用无时滞psd系统渐近稳定的特点，提出了无预估模型的PS D自适应预估控制算法。
In order to apply well to the process with time delay, a model-free predictive control law for the PSD is proposed which scheme is based on the asymptotical stability in delay-free PSD system.
针对不存在丢包和存在丢包的情况，通过由采样周期、被控对象与模型参数构造的稳定性判别矩阵给出了使网络控制系统渐近稳定的充分条件。
By constructing a test matrix in terms of the sampling period, the plant controlled and the model parameters, we give a sufficient condition to test the asymptotic stability for the system.
研究半导体器件的漂移-扩散模型方程解的渐近性。
The asymptotic behavior of the drift diffusion model for semiconductor devices is studied.
研究半导体器件的漂移-扩散模型方程解的渐近性。
The asymptotic behavior of the drift diffusion model for semiconductor devices is studied.
应用推荐