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- A efficient information fusion algorithm is presented using adaptive fuzzy logic system (AFLS) to tune the Kalman filter. 摘要应用自适应模糊逻辑系统(AFLS)原理,研究了一种基于卡尔曼滤波器的信息融合算法;
- The application of Kalman filter in BO-TMA is studied. 研究了卡尔曼滤波法在BO-TMA的应用。
- The positioning method for motive target is Kalman Filter. 摘要对空中机动辐射源的定位和跟踪,主要采用卡尔曼滤波方法。
- Kalman filter method is studied in this paper to generate the TLE. 首先推导出扩展的卡尔曼滤波求双行元的计算公式;
- The model modified with Kalman filter may be able to simulate the riser well. 滤波后得到的模型可以对提升管进行模拟。
- An improved self tuning generalized predictive control (GPC) algorithm is presented for SISO multirate system where the sampling rate of the output is slower than the updating rate of the input. 针对输出采样速率比输入更新速率慢的多频系统,提出了一种改进的广义预测自校正控制算法。
- The localization of mobile object is accomplished by nonlinear Kalman filter. 论文利用非线性Kalman滤波设计了三星时差定位星座对运动目标的定位定速算法;
- The Unscented Kalman Filter (UKF) is a novel development in the field. Then, pr (译):的Unscented卡尔曼滤波( UKF方法)是一种新的发展领域。
- A new BO-TMA method combined adaptive weighting with Kalman filter is proposed. 4.提出一种自适应加权和卡尔曼滤波相结合的BO-TMA新方法。
- Real-time fuzzy self tuning controller 实时模糊自调节控制器
- Kalman filtering is the recursive version of ihe first estimate. 卡尔曼滤波即是线性最小方差估计的递推形式。
- Forecasting Macau Tide with Kalman Filter funded by the Research Committee of University of Macau, April2000. 澳门潮汐预测2000年4月由澳门大学研究委员会资助.
- A real-time tracking of moving object method based on Genetic Algorithm and Kalman filter was proposed. 提出了一种基于遗传算法和卡尔曼滤波的运动目标跟踪方法。
- Heat treatment Furnace Self tuning system based on Neural Network 基于神经网络的热处理炉温度自校正控制系统
- A Theory of Variational Assimilation with Kalman Filter - Type Constraints: Bias and Lagrange Multiplier. 卡门滤波器型限制的变分同化理论:偏差和拉格朗日放大器。
- MULTIVARIABLE SELF TUNING CONTROLLER WITH GENERALIZED COST FUNCTION 具有通用性能指标的多变量自校正控制器
- A Wavelet-Based Reduced Rank Kalman Filter for Assimilation of Stratospheric Chemical Tracer Observations. 平基于小波的降阶Kalman滤波用于平流层化学痕量物观测同化。
- When the observation noise is temporal correlation, Kalman Filter will not be able to achieve optimization, and its covariance matrix will be wrong. 在观测噪声不满足时间不相关的假设情况下,卡尔曼滤波将达不到最优滤波效果,并且其误差协方差阵也是错误的。
- The results of simulation shows that Kalman filter can restrain errors accumulation effectively. 仿真结果显示卡尔曼滤波器能有效地抑制误差积累。
- It utilizes extended Kalman filtering to carry out heterogeneous sensor fusion. 采用扩展卡尔曼滤波实现异质传感器融合。