Robust Estimation of Vehicle Motion States Utilizing an Extended Set-Membership Filter

Robust Estimation of Vehicle Motion States Utilizing an Extended Set-Membership Filter

Reliable vehicle motion states are critical for the precise control performed by vehicle active safety systems. This paper investigates a robust estimation strategy for vehicle motion states by feat of the application of the extended set-membership filter (ESMF). In this strategy, a system noise sou...

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Bibliographic Details
Main Authors: Jianfeng Chen, Congcong Guo, Shulin Hu, Jiantian Sun, Reza Langari, Chuanye Tang
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Applied Sciences
Subjects:
robust estimation
dynamic model
unknown but bounded noise
extended set-membership filter
Online Access:https://www.mdpi.com/2076-3417/10/4/1343

Internet

https://www.mdpi.com/2076-3417/10/4/1343

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