An Effective Joint Soft-Sensing Strategy for Multi-Information under Diverse Vehicle Driving Scenarios

An Effective Joint Soft-Sensing Strategy for Multi-Information under Diverse Vehicle Driving Scenarios

A variety of accurate information inputs are of great importance for automotive control. In this paper, a novel joint soft-sensing strategy is proposed to obtain multi-information under diverse vehicle driving scenarios. This strategy is realized by an information interaction including three modules...

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Bibliographic Details
Main Authors: Jianfeng Chen, Jiantian Sun, Shulin Hu, Yicai Ye, Haoqian Huang, Chuanye Tang
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Electronics
Subjects:
joint soft-sensing strategy
multi-information
time delay
variational Bayesian-based adaptive cubature Kalman filter
cubic observer
Online Access:https://www.mdpi.com/2079-9292/10/4/505

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https://www.mdpi.com/2079-9292/10/4/505

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