| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 560927 | Mechanical Systems and Signal Processing | 2007 | 20 Pages |
Abstract
This paper describes the modelling of dry friction using a NARX (Nonlinear AutoRegressive with eXogeneous inputs) type shunting neural network model. An ensemble model is then constructed by combining the shunting neural network model with the physics based DNLR (dynamic nonlinear regression) Maxwell slip model.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
C.X. Wong, K. Worden,