Discrete Time Robust Iterative Learning Kalman Filtering for Repetitive Processe

classicaltextbookofKalmanFiltering.WiththepossibleexceptionofthefastFouriertransform,Kalmanfiltering

状态等式约束的最优分布式卡尔曼滤波融合，徐杰，朱允民，本文给出了一个关于状态等式约束的最优分布式卡尔曼滤波融合算法。新的算法用了凸组合的融合方法,并且凸组合的融合权重可以递推�

Abstract—Multitargettracking(MTT)referstotheproblem ofjointlyestimatingthenumberoftargetsandtheirst

关于卡尔曼滤波的入门书籍，相关滤波算法均有MATLAB代码实现。

Estimation of catalytic activity using an unscented Kalman filtering in condensation reaction

The classic textbook for Kalman Filter

Target dynamics are assumed to be known in measuring digital speckle displacement. Use is made of a

The purpose of this paper is to present a new optimal sequential decentralized filtering algorithm f

Tracking an unknown number of targets given noisy measurements from multiple sensors is critical to

Networked Kalman filtering with combined constraints of bandwidth and random delay