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distributed parameter相关的网络例句

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与 distributed parameter 相关的网络例句 [注:此内容来源于网络,仅供参考]

And an optimal operation strategy of any kind of products subject to spoilage at any time is obtained on the basis of the proposition of the model of distributed parameter control systems. Moreover, definite economic explanations to spatial adjoint function and control variables are presented.

通过建立可变质产品的最优经营管理的分布参数控制系统模型,得出了零售企业每个瞬间每种可变质产品的最优经营管理策略,并对空间伴随函数和控制变量给出了明确的经济学解释。

Part Two. The approximation theory of distributed parameter systems.

偏微分方程的特征函数理论是研究分布参数系统的一个有效方法,但分布参数系统的特征函数的求取十分困难。

According to homogeneous assumption,based on the fundamental governing of two-phase flow,a distributed parameter model of adiabatic capillary tube was developed in this paper.

根据均相流等多项假设,运用两相流动基本方程建立了绝热毛细管分布参数的稳态数学模型。

The distributed parameter model is changed into variable coefficient nonlinear stiff ordinary differential equations by central difference method.

运用中心差分法将分布参数形式的系统模型转换为一变系数非线性的刚性常微分方程组。

Lumped parameter systems are described by ordinary differential equations; while distributed parameter systems are described by partial differential equations.

传递函数的定义为系统在零初始条件下,其输出信号的拉氏变换与输入信号拉氏变换的比值。

In addition, the distributed parameter system is likely to be described by concentrated parameter models in a certain extent.

同时也表明采用集中参数模型在一定的范围内是可以描述本质上是无穷维分布参数系统的。

The simulation methods of air conditioning's system include the centralized parameter methods and distributed parameter methods.

并就整个空调水系统的调节对各主要部件的影响和节能进行了分析,以期为空调水系统的控制和节能服务。

Chapter 2 mainly discusses the basic acknowledge of Sobolev space and Banach spacedifferential, and also discusses basic theory of parameter identification and optimal control ofparabolic distributed parameter system.

第二章主要介绍了Sobolev空间和Banach空间微分学的基础知识,还介绍了抛物型分布参数系统参数辨识与最优控制的基本理论。

The first one focuses upon the fundamental theory and methods of system identification, including the basic concepts of system description and identification,review of matrix theory, stochastic process and pulse response of linear systems; the first principle models for lumped and distributed parameter systems; modeling of bioreactions; auto regressive moving average model; weighted least square and regressive weighted least square for parameter estimation of ARMA model; Runge-Kutta and Simplex methods; an example of BPNN application; as well as Kalman Filter.

第一部分包括知识驱动建模、数据驱动建模、参数估计和状态估计的基础理论和方法。具体为:(1)系统辨识和系统描述的基本概念,包括矩阵论、随机过程、线性系统的脉冲响应函数等基础知识回顾;(2)基于动态物料和能量衡算的集总参数、分布参数对象的知识驱动建模方法;(3)生物反应系统的建模方法;(4)自回归移动平均模型;(5) ARMAX模型参数的加权最小二乘参数估计一次性算法和递推算法,相应的统计性质;(6)龙格库塔法和单纯形法;BP神经网络应用实例;(7)卡尔曼滤波器,及其与加权最小二乘参数估计递推算法的对比。

The two kinds of design methods for the microwave active filters are studied, which involve the negative resistance circuit design method and the network cascade method, and how to translate the lumped parameter circuit into the distributed parameter circuit is given.

同时,给出了集中参数电路转化为分布参数电路的方法,结合设计实例,给出了两种微波有源滤波器的计算机模拟结果和分布参数电路的几何尺寸。

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