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unknown input
相关语句
  未知输入
    Study on identification of structural dynamic parameters with unknown input information
    未知输入条件下的结构物理参数识别研究
短句来源
    Experimental resuIts show that the method is goodfor a svstem with unknown input
    实验结果表明,本方法对未知输入系统识别良好,具有现实可行性。
短句来源
  未知输入
    Study on identification of structural dynamic parameters with unknown input information
    未知输入条件下的结构物理参数识别研究
短句来源
    Experimental resuIts show that the method is goodfor a svstem with unknown input
    实验结果表明,本方法对未知输入系统识别良好,具有现实可行性。
短句来源
  “unknown input”译为未确定词的双语例句
    System Identification with Unknown Input
    激励未知系统模态参数识别研究
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  unknown input
Given an unknown input image, the recognition system projects the image to eigenspace.
      
The unique feature of the method is that it extends cycle-level architectural simulation techniques to enable symbolic execution with unknown input data values; it uses alternative instruction semantics to handle unknown operands.
      
(2004) International Journal of Control 77(9), 861-876], we develop a complete theory of dead-beat (possibly unknown input) observer-based fault detectors and isolators (FDIs).
      
(1986) IEEE Transactions on Automatic Control, AC-31, 676-680] and on some recent results about dead-beat unknown input observers (UIOs) (for 2D systems affected by disturbances) [Bisiacco, M.
      
To solve the problem of estimating an unknown input function to a linear time invariant system we propose an adaptive non-parametric method based on reversible jump Markov chain Monte Carlo (RJMCMC).
      
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System identification using tested vibration data is discussed.The vibration structure is to be identified without input excitation but with the response data under operating condi-tions。An iterative inverse filtering algorithm(ITIF)is used for estimating and updating theunknown input with the orthogonal sub-space method applied later for system identification。When using this method Gram-Schmidt orthogonalization is introduced into time series soas to realize automatic order estimate,An improved...

System identification using tested vibration data is discussed.The vibration structure is to be identified without input excitation but with the response data under operating condi-tions。An iterative inverse filtering algorithm(ITIF)is used for estimating and updating theunknown input with the orthogonal sub-space method applied later for system identification。When using this method Gram-Schmidt orthogonalization is introduced into time series soas to realize automatic order estimate,An improved algorithm has been developed for redundant computation in the basic algorithm。Experimental resuIts show that the method is goodfor a svstem with unknown input

研究了输入未知时,根据系统运行实测响应数据识别系统结构,采用迭代逆滤波算法,用高阶AR模型对输入信号进行估计,以便最终识别系统;在模型识别中采用了正交子空间法,这一方法将正交化引入时间序列,从而实现系统阶次的自动估计及模型识别.针对基本算法的冗余计算提出了改进算法。实验结果表明,本方法对未知输入系统识别良好,具有现实可行性。

An approach of fault detection and isolation using optimal parity vector is proposed. Its main idea is to design a performance criterion which makes the optimal parity vector be most sensitive to designated sensor's fault and least sensitive to other sensor's fault and unknown inputs such as noises. Through the Monte Carlo simulation, it is shown that the approach of choosing optimal parity vector greatly increases the ability of fault detection and the effectiveness of fault isolation is better than that...

An approach of fault detection and isolation using optimal parity vector is proposed. Its main idea is to design a performance criterion which makes the optimal parity vector be most sensitive to designated sensor's fault and least sensitive to other sensor's fault and unknown inputs such as noises. Through the Monte Carlo simulation, it is shown that the approach of choosing optimal parity vector greatly increases the ability of fault detection and the effectiveness of fault isolation is better than that of the GLT approach.

提出了一种利用对特定传感器故障敏感的最优奇偶向量进行故障检测与隔离的方法。主要思想是设计一个性能指标函数,使得最优奇偶向量对被检测的传感器故障最敏感,而对其余传感器故障和未知输入不敏感。与常用的广义似然比方法相比,该方法明显地提高了故障的检测能力,此外,对故障的隔离效果也更好。

This paper focuses on the item of structural parameters identification without input information. An aglorithm named as uniform load statistical average method is proposed and its procedure is described based on the charicteristic of pulsation wind on structure. To give the algorithm a solid basis, a theoretical certificate is given in the paper. Further numerical studies show that the proposed algorithm is highly efficent not only for noise free situation but also for noise included situation. The new idea...

This paper focuses on the item of structural parameters identification without input information. An aglorithm named as uniform load statistical average method is proposed and its procedure is described based on the charicteristic of pulsation wind on structure. To give the algorithm a solid basis, a theoretical certificate is given in the paper. Further numerical studies show that the proposed algorithm is highly efficent not only for noise free situation but also for noise included situation. The new idea given in the paper seems to supply a hopeful way for parameter identification with unknown input.

研究在输入信息未知条件下识别结构物理参数的问题。根据建筑结构风荷载的作用特点,提出了一类时域识别算法,用于高层建筑结构的结构物理参数识别。文中对算法给出了理论证明。数值分析算例表明:不考虑量测噪声时,文中方法可给出结构参数的精确识别结果;在量测噪声高达30%仍可得到较高精度的参数识别结果

 
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