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输出辨识
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  output identification
     Through establishing single input-single output identification mathematics model for the dynamic moisture performance of building envelopes by materials surface's air relative humidity input & materials moisture capacity output, the interrelation Z transfer function model are gained.
     建立了以材料表面空气相对湿度为输入 ,材料湿容量为输出的建筑围护结构材料动态湿特性单输入单输出辨识数学模型和相应的Z传递函数模型。
短句来源
     Through establishing single input single output identification mathematics model for the dynamic moisture performance of building envelopes by materials surface's air relative humidity input and materials moisture capacity ouput,the interrelation Z transfer function model was gained.
     建立了以材料表面空气相对湿度为输入 ,材料湿容量为输出的建筑围护结构材料动态湿特性单输入单输出辨识数学模型 ,得到相应的 Z传递函数模型 .
短句来源
  “输出辨识”译为未确定词的双语例句
     It only needs through the input and output to recognize the mapping relations, and approaches the input and output data through the training network self-adjusting network weight, avoided determining the coefficient through the solution system of equations the work.
     它只需根据输入输出辨识两者之间的映射关系,通过训练网络自行调整网络权值,逼近实际系统,避免了构造复杂的数学模型、计算来确定系数的工作。
短句来源
     Based on the LS construction characters, through controlling the network feedback signals and enlarging one dimension of the network input matrix, this method can make the network output LS parameters and lost function simultaneously.
     通过增加一维输入矩阵使其构成计算所需要的结构,及根据最小二乘法结构上的特点对该网络的反馈信息加以控制的手段,使该网络在稳定时,能够同时输出辨识参数及损失函数。
短句来源
  相似匹配句对
     Identification of Two-Input,Two-Output Compensatory TrackingSystems
     两输入两输出补偿跟踪系统辨识
短句来源
     Identification of output error models based on impulse response
     基于脉冲响应的输出误差模型的辨识
短句来源
     output of the model.
     模型输出
短句来源
     AutoCAD Output
     AutoCAD图形输出
短句来源
     Parameter Identification for Mircromotor
     微型电动机的参数辨识
短句来源
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  output identification
Higher-than-second-order statistics-based input/output identification algorithms are proposed for linear and nonlinear system identification.
      
The aim of this study is to propose a new set of sensitivity functions, called the generalized sensitivity functions (GSF), for the analysis of input-output identification experiments.
      
Active sampling for multiple output identification
      


In this paper, a new input-output canonical identification model for linear multivariable systems is derived from its state-space canonical form. This canonical model with fewer parameters to be identified is directly related to the input-output of the system. Compared with the Guidorzi identification model, this canonical model greatly reduces the occurrence of overlapping in outputs of various subsystems. The algorithm for determining its structural indices is given. The numerical example shows that the...

In this paper, a new input-output canonical identification model for linear multivariable systems is derived from its state-space canonical form. This canonical model with fewer parameters to be identified is directly related to the input-output of the system. Compared with the Guidorzi identification model, this canonical model greatly reduces the occurrence of overlapping in outputs of various subsystems. The algorithm for determining its structural indices is given. The numerical example shows that the algorithm works quite well.

从线性多变量系统状态空间规范型导出了系统的新输入输出辨识规范型,该模型直接与系统的输入输出数据相联系,且待辨识的参数较少,与现在的Guidorzi辨识模型相比,大大减少了各子系统输出间的重迭(overlapping)数目。给出了确定其结构指标的算法。数值实例表明了算法的有效性。

The performance requirements of many engineering control problems are naturally described in terms of variance values of system inputs,outputs and stutny.The primary purPOSe of this paper is to deal with the problem of evaluating the stochastic controllers for systems with variance constraintS.The algorithm to identify the variances of system inputs and outputs is presented.This algorithm may be used to evaluate that if the stochastic controllers can make the feedback system meet the prespecified variance constraints,so...

The performance requirements of many engineering control problems are naturally described in terms of variance values of system inputs,outputs and stutny.The primary purPOSe of this paper is to deal with the problem of evaluating the stochastic controllers for systems with variance constraintS.The algorithm to identify the variances of system inputs and outputs is presented.This algorithm may be used to evaluate that if the stochastic controllers can make the feedback system meet the prespecified variance constraints,so that the controllers can be aPPropriately adjustal prior to itS implementation on practical systems and the design soal can be achieved.

本文研究当系统的性能指标表现为系统输入及输出的方差约束时一类随机控制器的评价问题,给出了系统反债输入及输出的辨识算法.该算法可用来评价反馈控制器能否使反馈系统满足既定的方差约束,以便在对实际系统实施控制之前及时调整控制器,从而达到设计目的.

This objective focuses on a realization way by which lost functions and parameters of the least square(LS) method can be computed and the multi order identification by using continuous Hopfield network can be processed. Based on the LS construction characters, through controlling the network feedback signals and enlarging one dimension of the network input matrix, this method can make the network output LS parameters and lost function simultaneously. In the same way, the parameters and lost functions for each...

This objective focuses on a realization way by which lost functions and parameters of the least square(LS) method can be computed and the multi order identification by using continuous Hopfield network can be processed. Based on the LS construction characters, through controlling the network feedback signals and enlarging one dimension of the network input matrix, this method can make the network output LS parameters and lost function simultaneously. In the same way, the parameters and lost functions for each order which is lower than the input one can also be obtained.

讨论了用连续Hopfield神经网络实现最小二乘(LS)法同时求损失函数及辨识参数,进而对该网络的一次输入的矩阵参数进行多阶次辨识的计算。通过增加一维输入矩阵使其构成计算所需要的结构,及根据最小二乘法结构上的特点对该网络的反馈信息加以控制的手段,使该网络在稳定时,能够同时输出辨识参数及损失函数。依此顺序对反馈信号进行控制,可以依次得到低于该输入阶次的各阶辨识参数及损失函数

 
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