控制理论(社会学)
卡尔曼滤波器
不变扩展卡尔曼滤波器
理论(学习稳定性)
扩展卡尔曼滤波器
α-β滤光片
滤波器(信号处理)
数学
国家(计算机科学)
仿射变换
计算机科学
移动视界估计
算法
控制(管理)
人工智能
统计
机器学习
纯数学
计算机视觉
标识
DOI:10.1080/0020717021000023708
摘要
This paper considers the state estimation problem for switched affine systems. A switching Kalman filter is proposed and its performance analysed. It is proved that this filter leads to an optimal and stable estimation for all switching sequences of the system. In contrast to this, a switching stationary filter may cause an infinitely growing estimation error, which is demonstrated by an example.
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