Robust Kalman filtering algorithm and robust filtering algorithm are applied to GPS/DR integrated navigation system, this is an attempt to develop the application of model uncertainty algorithm in integrated navigation system.
将鲁棒卡尔曼滤波和鲁棒滤波算法运用于GPS/DR组合导航系统,是模型参数不确定性算法应用于组合导航的一次尝试。
参考来源 - 组合导航中的鲁棒滤波研究The filtering problem is one of producing an estimate of the system state usingmeasurements, while robust filtering is to estimate an unknown hidden state whenthe system model exists uncertainty.
滤波是以测量信号为基础对系统内部不可测量的信号进行估计,系统模型存在不确定情况下的滤波问题即鲁棒滤波问题。
参考来源 - 基于多项式参数依赖Lyapunov函数的鲁棒滤波器设计·2,447,543篇论文数据，部分数据来源于NoteExpress
An optimized robust filtering algorithm for uncertain discrete time systems is presented.
提出了一种离散系统的优化鲁棒滤波方法。
A new reduced-order robust filtering method for linear system is derived based on linear matrix inequation methods.
作为大系统鲁棒滤波研究，本文利用线性矩阵不等式得到了一个新的线性系统降阶鲁棒滤波算法。
Adaptive robust filtering has the ability to control the disturbing influences of the outlying observations and the abnormal state equations.
自适应抗差滤波具有控制观测异常及状态方程信息异常干扰的能力。
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