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。
Existence conditions and analytical expression of the desired performance robust filtering gain are obtained. A numerical example demonstrates...
给出了期望鲁棒滤波增益的存在条件及其解析表达式，并以数值算例说明了设计方法的直接性与有效性。
It is shown that the pulsar's position error can be seen as model uncertainty, and the effect of the uncertainty can be reduced by using the robust filtering technique.
指出星表误差可以看作模型不确定性的一部分，采用鲁棒滤波技术进行处理。
Based on the game theory and LQG optimal control theory, the mini-max robust filtering is presented, which can minimize the filtering errors under the disturbance of uncertain noises.
根据博弈理论与最优控制理论，提出一种能够在具有不确定噪声干扰中最小化滤波误差的极小极大值鲁棒滤波器。
Based on the game theory and LQG optimal control theory, the mini-max robust filtering is presented, which can minimize the filtering errors under the disturbance of uncertain noises.
根据博弈理论与最优控制理论，提出一种能够在具有不确定噪声干扰中最小化滤波误差的极小极大值鲁棒滤波器。
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