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smoothing input
相关语句
  输入平稳
     Secondly, some industry processes not only demand high precision trackingbut also smoothing input, avoiding sharp changes of input signals to damageequipments.
     其次,针对工业过程中,既要求高精度跟踪又要求输入平稳、防止因激烈变化而损坏设备的快速系统,提出了一种约束输入的广义预测控制快速算法。
短句来源
     The input increase is constrainted by softing coefficient matrix to obtain smoothing input,and it is need not to calculat inverse matrix to increase responding speed of the system.
     该算法通过对输入增量引入柔化系数矩阵从而进行约束,防止了输入的剧烈变化; 既达到了系统输入平稳的要求,又克服了传统控制律中求解逆矩阵的缺点,提高了系统响应的快速性。
短句来源
  “smoothing input”译为未确定词的双语例句
     Smoothing Input Fast Non-overshooting Predictive Control Algorithm
     输入平稳的快速无超调预测控制算法
短句来源
  相似匹配句对
     SMOOTHING FORMULAE
     光滑公式
短句来源
     The input of C in default
     C语言的缺省输入
短句来源
     Interlanguage and Input
     “过渡语”与输入
短句来源
     Design & realization of input smoothing circuit in switching power supply
     开关电源输入平波电路的设计与实现
短句来源
     Smoothing Input Fast Non-overshooting Predictive Control Algorithm
     输入平稳的快速无超调预测控制算法
短句来源
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  smoothing input
They result from the solution of a nonparametric optimization problem in a generalized Fock space (GFS) of abstract Volterra series under interpolating or smoothing input-output training data constraints.
      


This paper proposed a morphological erosion operator based on partial differential equation (PDE). Its excellent performances on gradient image, noise removal and edge preserving were demonstrated. Based on this operator, an evaluating scheme of diffusion coefficients was introduced: the noise and edge of gradient image was controlled and preserved directly by this morphological erosion operator rather than by pre-smoothing input image with Gaussian function or the conventional morphological operator....

This paper proposed a morphological erosion operator based on partial differential equation (PDE). Its excellent performances on gradient image, noise removal and edge preserving were demonstrated. Based on this operator, an evaluating scheme of diffusion coefficients was introduced: the noise and edge of gradient image was controlled and preserved directly by this morphological erosion operator rather than by pre-smoothing input image with Gaussian function or the conventional morphological operator. The new diffusion coefficient had robustness to noise and better localization of edges. Experiments demonstrated that this anisotropic diffusion scheme could efficiently reduce image noise and sharpen the object boundaries.

提出了一种新的基于偏微分方程的形态学腐蚀算子 ,该算子能够直接对梯度图像进行噪声抑制和边缘增强 .在异质扩散系数的求取过程中 ,摈弃了传统的在低分辨率条件下计算图像梯度的方法 ,而是直接利用该算子对梯度图像进行噪声抑制和边缘增强 .与基于高斯光滑以及传统的形态学预滤波方法相比 ,新的扩散系数具有更好的边缘定位能力和对噪声的鲁棒性 .实验结果表明基于该算子的异质扩散滤波新方法具有更好的图像光滑和细节保持性能

Considering the requirement that the input signals of some industry system equipments have no sharp change,a kind of new control algorithm is presented.The input increase is constrainted by softing coefficient matrix to obtain smoothing input,and it is need not to calculat inverse matrix to increase responding speed of the system.The compensations of predictive information is fully used to form weighted average.It is a good way to restrain overshoot.The simulation results show the validity of the algorithm...

Considering the requirement that the input signals of some industry system equipments have no sharp change,a kind of new control algorithm is presented.The input increase is constrainted by softing coefficient matrix to obtain smoothing input,and it is need not to calculat inverse matrix to increase responding speed of the system.The compensations of predictive information is fully used to form weighted average.It is a good way to restrain overshoot.The simulation results show the validity of the algorithm by comparative study for navigable system.

针对输入要求平稳的系统设备,提出了一种快速无超调预测控制新算法。该算法通过对输入增量引入柔化系数矩阵从而进行约束,防止了输入的剧烈变化;既达到了系统输入平稳的要求,又克服了传统控制律中求解逆矩阵的缺点,提高了系统响应的快速性。其次,控制算法中改善了传统广义预测控制算法的单一性,充分利用预测信息的补偿作用进行加权平均,很好地抑制了超调的出现。通过对水下航行器航向系统的仿真试验比较,试验结果验证了该算法的有效性。

>=This paper proposed a new partial differential equation (PDE) based morphological erosion operator, and its excellent performances on gradient image, noise removal and edge preserving, are demonstrated. Based on this operator, a new evaluating scheme of diffusion coefficients is introduced: instead of pre-smoothing input image with Gaussian function or the conventional morphological operator, the gradient image is denoised directly by this new morphological erosion operator. The new diffusion coefficient...

>=This paper proposed a new partial differential equation (PDE) based morphological erosion operator, and its excellent performances on gradient image, noise removal and edge preserving, are demonstrated. Based on this operator, a new evaluating scheme of diffusion coefficients is introduced: instead of pre-smoothing input image with Gaussian function or the conventional morphological operator, the gradient image is denoised directly by this new morphological erosion operator. The new diffusion coefficient is more robust to noise and better localization of edges. Experiments demonstrated that this new anisotropic diffusion scheme can efficiently reduce image noise and sharpen the object boundaries.

本文提出了一种新的基于偏微分方程(PDE)的形态学腐蚀算子,该算子能够直接对梯度图像进行噪声抑制和边缘增强。在各向异性扩散系数的求取过程中,摈弃了传统的在低分辨率条件下计算图像梯度的方法,而是直接利用该算子对梯度图像进行噪声抑制和边缘增强。与基于高斯光滑以及传统的形态学预滤波方法相比,新的扩散系数具有更好的边缘定位能力和对噪声的鲁棒性。实验结果表明基于该算子的各向异性扩散滤波新方法具有更好的图像光滑和细节保持性能。

 
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