On-Line Learning and Updating Unmanned Tracked Vehicle Dynamics

On-Line Learning and Updating Unmanned Tracked Vehicle Dynamics

Increasing levels of autonomy impose more pronounced performance requirements for unmanned ground vehicles (UGV). Presence of model uncertainties significantly reduces a ground vehicle performance when the vehicle is traversing an unknown terrain or the vehicle inertial parameters vary due to a miss...

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Bibliographic Details
Main Authors:	Natalia Strawa, Dmitry I. Ignatyev, Argyrios C. Zolotas, Antonios Tsourdos
Format:	Article
Language:	English
Published:	MDPI AG 2021-01-01
Series:	Electronics
Subjects:	unmanned tracked vehicle inertial parameters vehicle-terrain interaction identification recursive least square with exponential forgetting generalized Newton–Raphson
Online Access:	https://www.mdpi.com/2079-9292/10/2/187

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