Predictive filtering based on minimum model error is introduced to realize real time identification of unknown perturbations and conquer influence of model error.
引入基于模型误差最小准则的预测滤波算法，实现对未知扰动的实时辨识与估计，克服模型误差影响。
For the proposed one we use the fast RLS algorithm in lattice predictive filtering part with some modification and the LMS in adaptive transversal filtering part.
算法在格型预测器部分采用快速RLS算法，而在自适应横向滤波器部分采用LMS算法，并加以适当改进。
A nonlinear predictive tracking filtering algorithm is presented for maneuvering target, which is an innovations-based scheme of maneuver estimation.
提出了一种直接根据新息的机动目标跟踪非线性预测跟踪滤波算法。
The research results of dynamic state estimation algorithm were introduced, which were EKF method, UKF method, predictive Kalman filtering and nonlinear predictive Kalman filtering.
简要分析了几种常见的动态估计方法，它们是EKF方法、UKF方法、预测卡尔曼滤波；
The research results of dynamic state estimation algorithm were introduced, which were EKF method, UKF method, predictive Kalman filtering and nonlinear predictive Kalman filtering.
简要分析了几种常见的动态估计方法，它们是EKF方法、UKF方法、预测卡尔曼滤波；
应用推荐