.png){kind=icon}
返回
Fuzzy Interacting Multiple Model H∞ Particle Filter Algorithm Based on Current Statistical Model
.png){kind=icon}
PRE
AI
DOI：10.1007/s40815-019-00678-y.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this paper, fuzzy theory and interacting multiple model are introduced into H infinity filter-based particle filter to propose a new fuzzy interacting multiple model H infinity particle filter based on current statistical model. Each model uses H infinity particle filter algorithm for filtering, in which the current statistical model can describe the maneuver of target accurately and H infinity filter can deal with the nonlinear system effectively. Aiming at the problem of large amount of probability calculation in interacting multiple model by using combination calculation method, our approach calculates each model matching probability through the fuzzy theory, which can not only reduce the calculation amount, but also improve the state estimation accuracy to some extent. The simulation results show that the proposed algorithm can be more accurate and robust to track maneuvering target.
Keyword:
Fuzzy theory
Interacting multiple model
Particle filter
H infinity filter
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.6
论文数:
2.2K
被引数:
4.3K
机构
引用论文
Detection of novelty, but not memory of spatial habituation, is associated with an increase in phosphorylated cAMP response element‐binding protein levels in the hippocampus.png)
Hippocampus
OAAI
HippocampusIF0
OAAI分享收藏Oriented Structural Boards from Split Wheat Straw: Effects of Straw Length, Panel Density, and Resin ContentBioResources
OAAI
BioResourcesIF0
OAAI分享收藏Lithium-Ion Battery Parameters and State-of-Charge Joint Estimation Based on H-Infinity and Unscented Kalman Filters基于H-无穷大和无迹卡尔曼滤波的锂离子电池参数和荷电状态联合估计
PREAI
分享收藏A Novel Fault-Prognostic Approach Based on Interacting Multiple Model Filters and Fuzzy Systems
PREAI
分享收藏
查看更多内容