ID 原文 译文
50297 实验结果表明该方法能有效解决多中心多发射任务协同规划问题。 The experimental results show that the method can effectively solve the multiple center mission planning problem together.
50298 混杂系统同时包含连续动态特性和离散动态特性，并且两种动态相互作用，使其故障诊断变得更加困难。 Dynamic characteristics of a hybrid system that contains both continuous and discrete dynamic characteristics, and two kinds of dynamic interaction, make its fault diagnosis become more difficult.
50299 针对此问题，提出了一种混合系统粒子滤波混合状态估计及故障诊断算法，提高了现有方法的适用范围和诊断效率。 Aiming at this problem, this paper proposes a hybrid particle filter system state estimation and fault diagnosis algorithm, improve the efficiency of the scope of the existing method and diagnosis.
50300 针对混杂系统受控迁移、自治迁移和随机迁移等特点， For hybrid systems controlled the migration, autonomy, migration and the characteristics of random migration,
50301 首先利用随机混杂自动机对系统离散状态(包括故障)和连续状态进行统一建模，重点对现有基于扩展卡尔曼粒子滤波的连续估计算法进行改进， first using random hybrid automata (including fault) discrete states of this system and the continuous state for unified modeling, focusing on the existing continuous estimation based on extended kalman particle filter algorithm was improved,
50302 支持利用在线监测数据来估计混杂系统各类迁移产生的各种离散和连续状态，最后根据离散状态估计结果快速实现故障诊断。 and supported the use of online monitoring data to estimate the mixed system of various kinds of migration to produce all kinds of discrete and continuous state, according to the discrete state estimation results quickly realize fault diagnosis.
50303 通过对典型非线性混杂系统的故障诊断，证明了该方法的有效性。 Through to the typical nonlinear mixed system fault diagnosis, prove the effectiveness of the proposed method.
50304 针对应用于受不确定性干扰和噪声影响的卫星自主导航系统中的无迹卡尔曼滤波(unscented Kalman filter，UKF)存在估计精度低、跟踪性能差和鲁棒性弱等缺陷，提出一种改进的强跟踪平方根UKF(strong tracking square-root UKF，STSRUKF)导航方法。 Against interference and noise is applied to the uncertainty of satellite autonomous navigation system no trace of the Kalman filter (unscented Kalman filter, UKF) low estimation precision, the tracking performance is poor and weak defects such as robustness, proposed a modified strong tracking square root UKF (strong tracking the square - root UKF, STSRUKF) navigation methods.
50305 该方法中利用星敏感器和光学导航相机设计出导航方案，并通过转换方程将间接量测量转换为观测量。 The method of using star sensor and optical navigation camera designed navigation scheme, and through the transformation equation transform indirect measurement for observation.
50306 针对平方根UKF(square-root UKF，SRUKF)在高阶系统中因为sigma点的零权值系数是负的或者数值计算误差太大时而可能造成滤波器发散问题，采用一种改良的平方根分解方法，改善了滤波器的稳定性。 In view of the square root UKF (square - root UKF, SRUKF) in a higher order system for sigma point is negative or zero weight coefficients of numerical calculation error is too big and sometimes may cause the filter divergence problem, using a modified square root decomposition method, the stability of the filter is improved.