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单输出系统
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  single output system
    2. ANN modeling. The model is single hidden layer, multi-inputs and single output system. The output is the price trend of future six weeks.
    2.利用BP神经网络建立预测模型,采用单隐层多输入单输出系统,预测股票价格未来六周的收盘价中期变化趋势。
短句来源
    The dynamic complementary decoupling, presented by the author, may be used in the design of nonsingular as well as singular process control system. The stability of decoupling network D may be settled up closed loop nonlocating method or by converting multivariable singular system into single input and single output system.
    作者提出的动态互补解耦不仅可以用于非奇异的过程控制系统的设计,同样可用于奇异的对象,解耦网络D的稳定性问题采用闭环无定位的方法和将多变量奇异系统转换成单输入与单输出系统的方法来解决.
短句来源
    It gives a proposition which stipulates conditions for the existence of a compensating link sequency characteristics in a singleinput single output system, and two numerical examples are given as an illustration of theproposed theory.
    给出了单输入单输出系统校正环节序率特性存在的命题,并给出了二个数值例子。
短句来源
    In addition, the necessary and sufficient condition that a decision . making unit (DMU) is DEA efficient (C2GS2) and the condition that optimal solution to DEA model (C2GS2) is unique are presented under single input and single output system.
    最后给出了单输入单输出系统下决策单元为DEA有效(C~2GS~2)的充要条件及最优解唯一的条件。
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  “单输出系统”译为未确定词的双语例句
    Parameterization of SISO System Pole Assignment Controllers
    单输入单输出系统极点配置控制器的参数化与设计
短句来源
    For the application of Kalman filtering technique,the identification problem of the canonical form parameters of a single-input and mutioutput system is dealt with as a state estimation problem of several single-input and single-output systems.
    为了应用卡尔曼滤波技术,再将一个单输入多输出系统的标准型参数识别问题转化为若干个单输入单输出系统的状态估计问题。
短句来源
    A digital identification technique for an unknown linear time-invariantsingle-input single-output system with unknown order and unknown initialconditions is given in this paper.
    本文阐述了一个未知线性时不变单输入单输出系统数学模型的数字辨识技术。
短句来源
    Using MFD, necessary and sufficient conditions for SISO system pole assignment by a proper controller, and the parame- terization of the pole assignment controllers are given in the paper.
    本文基于系统敏感度函数的著名引理,采用多项式分式表示法,给出了单输入单输出系统闭环极点,能被一传函为真的控制器实现的充要条件及相应极点配置控制器的参数化描述。
短句来源
    Through the use of the matrix transformationn and matrix sequence analysis, this paper generalizes the conclusion of reference [1] from single—input/single—output systems to general systems.
    本文利用矩阵变换和矩阵分析将参考文献的结论,从单输入单输出系统推广到一般情况。
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This paper suggests a new method for identifying parameters of linear time-invariant vibration system by the use of Kalman filtering technique.To start with,the system dynamic equation is transformed into discrete-time state equation in observable canonical form.For the application of Kalman filtering technique,the identification problem of the canonical form parameters of a single-input and mutioutput system is dealt with as a state estimation problem of several single-input and single-output systems.Three...

This paper suggests a new method for identifying parameters of linear time-invariant vibration system by the use of Kalman filtering technique.To start with,the system dynamic equation is transformed into discrete-time state equation in observable canonical form.For the application of Kalman filtering technique,the identification problem of the canonical form parameters of a single-input and mutioutput system is dealt with as a state estimation problem of several single-input and single-output systems.Three sets of practicable filtering formulas and a method of selecting the initial information for filtering are introduced.Then,formulas for transforming the canonical form parameters obtained through filtering into the complex modal parameters and undamping natural modal parameters of the vibration system are presented,and finally,the methods are discussed and results of a simulation experiment are given.

本文提出了利用卡尔曼滤波技术识别线性定常振动系统参数的方法。 首先,将系统动力学方程转化为离散的可观标准型状态方程;为了应用卡尔曼滤波技术,再将一个单输入多输出系统的标准型参数识别问题转化为若干个单输入单输出系统的状态估计问题。接着,介绍了三组实用的滤波公式以及选取滤波键所需的初始信息的方法。然后,列出了由滤波得到的标准型参数求得振动系统的复模态参数和固有模态参数所用的转换公式。最后讨论了本文所提出的方法,并给出了一个模型的模拟试验结果。

A digital identification technique for an unknown linear time-invariantsingle-input single-output system with unknown order and unknown initialconditions is given in this paper. An algorithm to carry out this plantidentification is described. This algorithm has the property that it mini-mizes the ill-conditions associated with the plant parameters calculationof the systems.

本文阐述了一个未知线性时不变单输入单输出系统数学模型的数字辨识技术。其系统模型阶数和初始条件为未知。执行对象数学模型辨识的算法具有把系统参数计算过程中出现的病态条件最小化的性能。

In this paper, the principle, structure and application of inverse matrix decoupling and dynamic complementary decoupling and discussed. The dynamic complementary decoupling, presented by the author, may be used in the design of nonsingular as well as singular process control system. The stability of decoupling network D may be settled up closed loop nonlocating method or by converting multivariable singular system into single input and single output system.

本文讨论矩阵求逆解耦与动态互补解耦的原理、结构与应用.作者提出的动态互补解耦不仅可以用于非奇异的过程控制系统的设计,同样可用于奇异的对象,解耦网络D的稳定性问题采用闭环无定位的方法和将多变量奇异系统转换成单输入与单输出系统的方法来解决.

 
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