EFFECTIVE FILTERING FOR SLOW-FAST SYSTEMS VIA WONG-ZAKAI APPROXIMATION

被引:0
|
作者
LI, Haoyuan [1 ]
LI, Wenlei [1 ]
Qu, Shiduo [1 ]
Shi, Shaoyun [1 ,2 ,3 ]
机构
[1] Jilin Univ, Sch Math, Changchun 130012, Peoples R China
[2] Sch Math, Changchun 130012, Peoples R China
[3] State Key Lab Automot Simulat & Control, Changchun 130012, Peoples R China
来源
基金
美国国家科学基金会;
关键词
Slow-fast systems; random invariant manifolds; filtering theory; Wong-Zakai approximation; INVARIANT-MANIFOLDS; DIMENSIONAL REDUCTION; EQUATIONS; CONVERGENCE;
D O I
10.3934/eect.2023016
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Nonlinear filtering problem has been widely investigated in diverse fields. One important topic related to it is how to formulate an effective approximation scheme for a given observation. By using Wong-Zakai approximation and random invariant manifold theory, we will propose an effective approximation result for a class of slow-fast systems with respect to filtering. We will firstly establish the smooth reduced system via random invariant manifold theory, and then show exponential attractive property of it. At last, we will prove the filtering of the smooth reduced system can well approximate that of the original system.
引用
收藏
页码:1378 / 1409
页数:32
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