The modified algorithm presented in the paper improved performance of the predictive filter.
文中进一步提出的修正算法，使滤波器的预测性能得到了改进。
The paper presents a new method to design a predictive filter which suits to analyze non-stationary data.
从三次样条函数入手，提出一种新的适合非平稳数据分析的预测滤波器设计方法。
As other predictive filters, state space is recursively got from measure space with system model by using the Particle filter.
这种滤波和其他预测性滤波一样，可以通过模型方程由测量空间递推得到状态空间。
According to the model inaccuracy that caused by the inertia change etc, the key technique of attitude estimate based on the nonlinear predictive filter is studied.
针对转动惯量变化等引起的模型不准确问题，研究基于预测滤波实现姿态估计的关键技术。
Considering the character of vector observation, a real time predictive filter based on minimum model error (MME) criterion is presented for satellite attitude estimation.
结合矢量观测的特点，基于最小模型误差准则给出了一种确定卫星姿态的实时估计算法，称为预测滤波算法。
In state estimation of satellite attitude determination, both traditional extended Kalman filter (EKF) and the proposed nonlinear predictive filter (NPF) have their own merits and defects.
在确定卫星姿态确定的状态估计法中，经典的扩展卡尔曼滤波(ekf)和新提出的非线性预测滤波(NPF)这两种实时滤波算法各有优缺点。
The results show that in the simulation of non-linear system model, this framework for Bayesian predictive filter can implement the tracking of simple motion and the orientation prediction.
实验结果表明，在非线性系统模型的仿真中，贝叶斯预测滤波框架能够较好的实现对简单物体运动的跟踪和方位的预测。
The Predictive Filter is an estimation method based on nonlinear system model, which determines the optimal model error using a one-step ahead control approach to provide accurate state estimations.
预测滤波器是一种基于非线性系统模型的滤波方法，它通过使输出一步前向预测误差最小来估计模型误差，具有较高的估计精度。
Finally, the Predictive PI Controller designing with Linear Phase Advance Filter as predictor is introduced.
最后，进行了预测项采用线性相位超前滤波器的预测PI控制器的设计。
Finally, the Predictive PI Controller designing with Linear Phase Advance Filter as predictor is introduced.
最后，进行了预测项采用线性相位超前滤波器的预测PI控制器的设计。
应用推荐