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Aiming at a class of typical dynamic hysteretic models, a kind of sliding mode tracking controller based on dynamic sliding mode principle is proposed. A dual-phase convergent process is implemented by constructing an auxiliary sliding mode variable.

针对一种典型的动态迟滞模型,提出一种基于动态滑模原理的跟踪控制器,通过构造辅助的滑模变量来实现动态滑模控制的两阶段收敛。

Firstly a formal syntactic of UML statechart diagrams was given and a series of auxiliary functions to describe the structure features of UML statechart diagrams were presented in which target determinator and source restriction were used to describe the inter-level transitions and open events and close events were used to describe the communication among UML statechart diagrams.

首先给出了UML状态图的形式化语法定义,其中用状态集合、转移集合、事件集合、条件集合、活动集合、对象集合和变量集合,定义了一系列辅助函数描述UML状态图特征,用确定目标状态和受限源状态表示层次关系,用开放事件和封闭事件表示对象之间的消息。

Finally introduces the define and realization of member variable and member function of class ...

文中首先对面向对象的概念,用户界面设计以及二者之间的关系进行阐述,提出运用面向对象的用户界面设计方法时遵循的原则,然后具体介绍空管辅助系统中用户界面的设计思想和具体的实现方法,最后给出一个主要的界面类———窗口类的成员变量和成员函数定义以及实现。

In a series of problem in probability calculation need for understanding the signification of integral variable and using graphical representation as an assistant tool.

在概率的一系列计算问题中,需要准确认识积分中变量的意义和利用图示作为辅助工具。

For the single objective optimization, the decomposition and coordination method is adopted to build the decomposition and coordination model according to the existing sub-area division conditions of power networks. Then using the Augmented Lagrange method, the minimization problem of decomposition and coordination model can be changed to the saddle point problem of augmented Lagrangian function. Finally, the so called auxiliary problem principle is selected to decompose variables as well as the functions. This transforms the voltage and reactive optimization problem of the wholenetworks to some sub-problems in some sub-areas.

对于单目标无功电压优化,根据实际电网分区情况,采用分解协调法复制各分区的边界节点,建立分解协调模型,采用增广拉格朗日法将求分解协调模型的极小值问题转化为求增广拉格朗日函数的鞍点问题,然后采用辅助问题原理分解变量和增广拉格朗日函数,从而将全网无功电压优化问题分解为多个分区的分布式并行优化问题。

The coupling of ancillary device control with reheater is analyzed.

根据燃气轮机数学模型具有多变量、强干扰、参数时变的特点采用单神经元控制器对转速进行闭环控制,分析了回热器等辅助设备控制的耦合关系,对软启动斩波控制、电池控制和逆变、并网控制的工作原理进行了详细的介绍,并按照工况的需求提供了控制方法。

Using the method of analysis to study strong limit theorem proposed by professor Liu Wen, and a plying Legbesuge theoremon differentiability of monotone function, a new proof of the theorem of strong law of large numbers for the sequence of random variables of the product distribution of Poisson is forwarded.

利用文献[1]刘文教授提出的研究强极限的纯分析方法,通过构造适当的辅助函数,然后利用单调函数异数存在定理,给出具有乘积泊松分布的随机变量序列的一个强大数定理的新证明。

The highlight of the DCL algorithm is that we have studies hidden variables structure estimation with own parameters, which form more general case of curve data submanifold. As the application of information geometry learning algorithm for supervised neural networks, we have given detailed algorithm implementment of DCL algorithm for mixture of experts, and stochastic multilayer percetron.

其中我们所作重要的工作是把结果推广到隐变量本身带参数结构的弯曲数据子流形的情形,采用了由场变换所形成的数据子流形估计中,辅助量本身是一个带参数的量,根据对偶梯度流公式,给出了学习算法实现的具体形式。

By expressing 4-angular momentum of the high-speed particular in the form of tensor ,and by Lorentz transformation,we can get the conversion equation of 3-dimension angular momentum and auxiliary vector.

高速运动质点的4-角动量表示成张量Jμv 的形式,通过对Jμv进行洛伦兹变换可以得到3维角动量L的变换关系以及辅助量G的变换关系,在经典过渡下,前者与角动量的伽利略变换相符合,后者恰好反映加速度a是伽利略变换的不变量。

The use of scale can redeem the research's observation and analysis, thus, want to evaluation the batterer's change, clinical worker can use URICA-DV scale as a objective tool.

量表之使用可弥补访谈者之观察与分析,因此对於家暴加害者之改变评估部分,可以考虑使用家庭暴力行为改变量表作为辅助评估工具。

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推荐网络例句

This one mode pays close attention to network credence foundation of the businessman very much.

这一模式非常关注商人的网络信用基础。

Cell morphology of bacterial ghost of Pasteurella multocida was observed by scanning electron microscopy and inactivation ratio was estimated by CFU analysi.

扫描电镜观察多杀性巴氏杆菌细菌幽灵和菌落形成单位评价遗传灭活率。

There is no differences of cell proliferation vitality between labeled and unlabeled NSCs.

双标记神经干细胞的增殖、分化活力与未标记神经干细胞相比无改变。