摘要
与传统常数增益向量(矩阵)状态观测器设计方法相比,基于卡尔曼滤波思想给出了时变增益向量(向量)状态观测器(估计器)的设计方法,例子证实了提出的时变增益观测器具有更小的状态估计误差。
Comparing with the traditional state with the time-varying gain vector/matrix is derived that the proposed optimal observer can give smaller observer with constant gain vector/matrix, an optimal observer based on the Kalman filtering principle. The example indicates state estimation errors than the traditional state observer.
出处
《科学技术与工程》
2008年第15期4346-4348,共3页
Science Technology and Engineering
基金
国家自然科学基金资助资助(60574051)
江苏省自然科学基金项目资助(BK2007017)
江南大学创新团队发展计划资助
关键词
观测器
卡尔曼滤波
state observer Kalman filtering
