Adaptive Non-Bayesian State Estimation

被引:0
|
作者
Ansari, Ahmad [1 ]
Bernstein, Dennis S. [1 ]
机构
[1] Univ Michigan, Dept Aerosp Engn, Ann Arbor, MI 48109 USA
关键词
UNCERTAIN SYSTEMS; KALMAN; NOISES;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents an adaptive retrospective cost state estimation (RCSE) algorithm that uses no knowledge of the statistics of the process and measurement noise. To demonstrate the method, we investigate three cases for comparison with the Kalman filter, namely, known dynamics with known noise statistics, uncertain dynamics with known noise statistics, and uncertain dynamics with uncertain noise statistics. For numerical illustration, we apply RCSE to a damped oscillator, a damped rigid body, and a lateral aircraft model.
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页码:6977 / 6982
页数:6
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