Omnidirectional Mobile Robot Dynamic Model Identification by NARX Neural Network and Stability Analysis Using the APLF Method

Omnidirectional Mobile Robot Dynamic Model Identification by NARX Neural Network and Stability Analysis Using the APLF Method

In this paper, the NARX neural network system is used to identify the complex dynamics model of omnidirectional mobile robot while rotating with moving, and analyze its stability. When the mobile robot model rotates and moves at the same time, the dynamic model of the mobile robot is complex and the...

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Bibliographic Details
Main Authors: Liang Xin, Yuchao Wang, Huixuan Fu
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Symmetry
Subjects:
omnidirectional mobile robot
dynamics model
NARX neural network
stability analysis
activation path-dependent Lyapunov function
Online Access:https://www.mdpi.com/2073-8994/12/9/1430

Internet

https://www.mdpi.com/2073-8994/12/9/1430

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