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系统观测的英文

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"系统观测"怎么读用"系统观测"造句

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  • systematic observation

例句与用法

  • The reduction of series of observation and important single observations must usually be left to the expert .
    系统观测和重要的单项观测的归算通常要留待专家来做。
  • Parameterization of all observers for generalized dynamical systems
    广义动态系统观测器的参数化
  • Observer design based on time - delay systems with non - linear disturbance
    具有非线性干扰的时滞系统观测器的设计
  • Novel approach to design of observer for continuous singular syetem with unknown inputs
    含未知输入的连续奇异系统观测器设计的新方法
  • The behavior characteristic of the agriculture wheeled mobile robot is analyzed , and the corresponding state equation and measuring equation are deduced
    分析了轮式机器人导航系统的行为特点,给出了相应的系统状态方程和系统观测方程。
  • This method includes two kinds of observation data for the correlation rule , hence resulting in enhanced spatial resolving capability . weighted track fusion with cep as weight is proposed . this method has less calculation and notable result
    同时根据无源定位系统观测误差的分布特性,提出了以为权因子的加权航迹融合算法,该融合算法计算量小,效果显著。
  • According to all kinds of data obtained from prototype observations system , this article examined the research results and data , it provides the theoretical and practical support for the construction of deep water and high dam in yellow river delta soft land area
    根据大坝原型观测系统观测的各种数据,对研究的结果和得出的数据进行了检验,为黄河三角洲软土地区兴建“深水高坝”提供了理论和实践的支持。
  • In the past , the multiplicative noise is in most cases assumed as one - dimension stochastic serial that means one - channel observation system . even if the observation is multi - channel , the multiplicative noise of each channel is the same
    以往的乘性噪声系统观测模型中,多是假定乘性噪声为一维随机序列,这种情况下,系统意味着是单通道,即使当观测为多维(多通道)时,各通道的乘性噪声也是完全相同的,这种假设往往不符合实际情况。
  • This thesis presents an odometry model for 4 - wheel omnidirectional mobile robots and proposes a method to achieve holonomic description of robot ’ s kinematic characteristics based on two dual - axis accelerations . with combinated data from encoder 、 acceleration 、 compass and pose from an omni - directional vision system , a kalman filter is designed to fuse data for robot ’ s self - localization . results of experiments concludes the achievement of this thesis
    通过分析本文选用的几种传感器和视觉在机器人定位应用中的特点,对基于kalman滤波的融合方法在机器人定位中的应用进行了讨论,建立了机器人加速度模型,并对其线性化,基于传感器测量和预处理结果,建立了系统观测模型。
  • 更多例句:  1  2
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