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1)  lagging ion
滞后离子
2)  discrete-delay
离散滞后
1.
In this paper,a sufficient condition of robust D-stability for discrete-delay uncertain singular systems is presented.
给出了一类离散滞后不确定奇异系统的鲁棒D -稳定性条件 ,发现渐近稳定的条件与时滞无关 。
3)  delay distance
滞后距离
4)  lag factor
滞后因子
1.
Both main control and subcontrol serve as the input variables of the fuzzy controller,and the lag factor is induced to the control regulation.
与常规模糊控制不同的是把串级控制系统中的主、副对象作为模糊控制器的输入变量,并且在控制规则中引入了滞后因子,实验证实该方法具有广泛的应用价值。
2.
This dissertation improves the One Factor Gaussian Copula model and comes up with a new model called One Factor Gaussian Copula model Considering Lag Factors.
本文改进了单因子高斯模型,添加影响资产池中资产质量的滞后因子,提出了考虑滞后因子的单因子高斯模型。
5)  causal operator
滞后算子
1.
By means of the causal operator determined by the initial pmblem of the differentio-integral equation, the class of the noulinear diffusion model of the biological population was translated into the initia-boundary problem of the parabolic equation with the causal operator.
构造并分析了一个由微分积分方程初值问题确定的滞后算子,利用这个滞后算子将一类非线性生物种群扩散模型转化为一个带滞后算子的抛物型偏微分方程的初边值问题。
2.
A mathematical model describing memory effects, the causal operator is introduced, the ordinary differential equation and the parabolic equation with the causal operator are discussed and sufficient conditions of existence, positiveness and uniqueness for their solutions are given.
介绍了一种不同于时滞的滞后现象的数学模型——滞后算子,讨论了带有滞后算子的常微分方程和抛物型方程,给出了解的存在、唯一和正性的充分条件。
6)  Ion retardation
离子阻滞
1.
Results show that though the ion retardation of the low crosslinking degree resin decreases to some extent,but in concentrated salt solution,the swelling degree increases,the Donnan sorption strengthened,so the resolution is raised remarkably for separating the salt from gelatine.
结果是交联度低的两性树脂,虽然其离子阻滞能力有所下降,但因两性树脂的特殊性在高浓度盐溶液中膨胀度反而增大,杜南吸附作用增强,对盐———明胶混和液分离时分辨率显著提高。
补充资料:离散时间周期序列的离散傅里叶级数表示
       (1)
  式中χ((n))N为一离散时间周期序列,其周期为N点,即
  式中r为任意整数。X((k))N为频域周期序列,其周期亦为N点,即X(k)=X(k+lN),式中l为任意整数。
  
  从式(1)可导出已知X((k))N求χ((n))N的关系
   (2)
  式(1)和式(2)称为离散傅里叶级数对。
  
  当离散时间周期序列整体向左移位m时,移位后的序列为χ((n+m))N,如果χ((n))N的离散傅里叶级数(DFS)表示为,则χ((n+m))N的DFS表示为
  

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