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1)  Heaviside test function
Heaviside加权函数
2)  Heaviside function
Heaviside函数
1.
Radial basis function(RBF)coupled with a polynomial basis function was used as a trail function,and a Heaviside function was used as a test function of the weighted residual method.
这种无网格方法采用径向基函数耦合多项式基函数来近似试函数,采用Heaviside函数作为加权残值法中的权函数。
2.
The meshless method uses the moving least squares(MLS) approximation,uses the Heaviside function as a test function of the weighted residual method and uses direct interpolation method to enforce essential boundary conditions.
这种无网格方法采用移动最小二乘近似函数(MLS)来近似试函数,采用Heaviside函数作为加权残值法中的权函数,采用直接插值法来施加本质边界条件。
3.
Through discussing the conventional definition of δ function and the strange qualities thus induced, it is pointed out that δ function can be understood as the weak limit of weak convergent functions and the derivative of Heaviside function traditionally.
对δ函数的传统定义及由此引起的奇性展开讨论,说明了在经典意义下δ函数可以被看成是弱收敛函数序列的弱极限以及阶跃函数Heaviside函数的导数;最后,借用泛函分析中广义函数的概念给出了δ函数的严格数学定义,并就其性质进行了讨论。
3)  adaptive penalized Heaviside function
自适应罚Heaviside函数
1.
A numerical method combining the substructure technique,the variational inequality formulation of Signorini\'s type and the adaptive penalized Heaviside function(short for SVA method) is proposed to solve these problems.
本文采用排水子结构、Signorini型变分不等式和自适应罚Heaviside函数相结合的方法(简称SVA方法)解决含复杂渗控结构的渗流问题。
4)  weighting function
加权函数
1.
The methods used in NMR logging include the T 2 cut?off value, T 2 spectra BVI and BVI weighting function.
NMR测井确定BVI方法有T2 截止值方法 ,频谱BVI(简称SBVI)方法和BVI加权函数方法。
2.
A summarization of the selection methods for the weighting function matrix in mixed sensitivity H_∞control is presented in the paper.
总结了混合灵敏度H∞控制算法中加权函数阵的选择方法,提出了一种新的选择加权函数矩阵的思想。
3.
A practical selection of weighting function and the order reduction of the controller are presented.
提出了实用的加权函数选择方法和一种控制器降阶方法。
5)  weighting functions
加权函数
1.
To prevent disturbance which caused by parametric uncertainties and load torque disturbance, this paper converted control problem of permanent magnet synchronous motor to H∞ mixed sensitivity problem through choosing suitable weighting functions.
针对永磁同步电机伺服系统中存在的模型参数不确定性和负载扰动问题,引入H∞混合灵敏度设计方法设计了H∞鲁棒控制器,并讨论了加权函数的选择。
2.
Aiming at the delay and no specific selection of weighting functions, a new algorithm is brought forward.
本文依据H∞控制理论,结合H∞混合灵敏度加权函数的选择,提出了一种<WP=3>SISO系统基于多目标遗传算法(MOGAS)的H∞混合灵敏度加权函数优化控制设计方法。
3.
Based on the main performance index required,the weighting functions are optimized by genetic algorithm(GA)and H∞ controller with good performance is obtained.
为了使系统达到给定的性能指标要求,采用遗传算法对加权函数的选择进行了优化,从而获得了性能优化的H∞控制器。
6)  weight function
加权函数
1.
The general principle to find appropriate weight functions on robust controller design for tracking was discussed.
同时探讨了在跟踪问题的鲁棒控制设计中加权函数选择的一般性原则 。
2.
According to the characteristics of plant and design requirements of control system ,selection method of weight function applied to robust controllers design for general systems is given in the light of the engineering application,.
文中根据权函数的选择原则反复选择权函数,并对选择好的加权函数进行了合理性的验证。
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