state transition matrix meaning in English
壮态传递矩阵
状态传递矩阵, 状态转移矩阵
状态跃迁矩阵
状态转变矩阵
Examples
- In this paper , the precise initial guidance law based on velocity gain guidance and the state transition matrix for orbit interception were proposed
摘要对于轨道拦截问题，给出了一种基于速度增益制导和状态转移矩阵的精确初制导方法。 - A test arranged to check lately and the result indicates that the new method can work efficiently , that the results were closer to the objective nature . 3 . to produce a new reduced kf scheme with svd , and construct the state transition matrix directly
浙江人学博十学位论文全文摘要3应用svd分解，推导了简约形式的卡尔曼滤波方法，并直接建立了显式的状态转移矩阵卡尔曼滤波法无法直接应用于海洋，其主要原因是增益矩阵的计算量太大。 - The evaluation method of element in state transition matrix is given when the wrong order of data packet is considered . considering the wrong order of data packets , the mathematic model of networked control systems with long time delay is developed . the sufficient and necessary conditions for stochastic stability of such networked control systems with long time delay are given
分析了长时延网络控制系统的二阶矩稳定性和随机稳定性；针对网络传输中的数据包的时序错乱问题，提出了第二缓冲器的方法；分析了网络诱导时延的markov特性，并给出了时延markov链的状态转移矩阵中元素的求取方法；建立了存在数据包时序错乱时长时延ncs的数学模型，并给出了对应的长时延ncs随机稳定的充分必要条件。 - The final results obtained in this paper contained that the optimal interpolation scheme highlighted by the covariance that the correlation between different time and the correlation between different place being considered ; that the simplification of kalman filter with the singular - value decomposition ( svd ) and the direct construction of state transition matrix pfeceded with " inverse vector expression " ; and that the analysis of t / p data and its blending with theoretical model
这些成果包括：建立考虑了时间相关的方差矩阵和时空相关的最优插值算法；对卡尔曼滤波算法进行了svd简化以及建立了显式的状态转移矩阵；将t p实时卫星数据进行调和分析并与数值模型进行同化处理。 - First , using the scale - invariant property of multiscale model , i . e . markovian among scales , a method of qth - order tree - based for multiscale representation of a class of 1 - d stochastic process is presented . the multiscale stochastic model is established . the representation forms of parameter matrices , such as , the state transition matrix , the disturbance matrix , the initial state and the corresponding covariance matrix are deduced in detail
本文在已有工作的基础上，开展了以下几个方面的研究工作： 1 、根据多尺度模型尺度不变性，即利用尺度间的markov性，给出了一类1 - d随机过程基于一般q阶树的多尺度表示方法，建立了相应的多尺度动态模型，详细推导了多尺度模型中的状态转移阵、扰动阵、初始状态和相应的协方差阵，并通过计算机仿真给出了不同阶树的多尺度采样路径。