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

Internet

https://www.mdpi.com/2079-9292/10/2/187

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