An Adaptive Multi-Dimensional Vehicle Driving State Observer Based on Modified Sage–Husa UKF Algorithm

An accurate vehicle driving state observer is a necessary condition for a safe automotive electronic control system. Vehicle driving state observer is challenged by unknown measurement noise and transient disturbances caused by complex working conditions and sensor failure. For the classical adaptiv...

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Hlavní autoři:	Zeyuan Luo, Zanhao Fu, Qiwei Xu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2020-12-01
Edice:	Sensors
Témata:	vehicle driving state estimation unscented Kalman filter adaptive filter Sage–Husa filter vehicle system robust estimation
On-line přístup:	https://www.mdpi.com/1424-8220/20/23/6889
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