Please use this identifier to cite or link to this item:
http://hdl.handle.net/11375/31229| Title: | A Review of Smooth Variable Structure Filters: Recent Advances in Theory and Applications |
| Authors: | Gadsden SA Afshari HH |
| Department: | Mechanical Engineering |
| Keywords: | 4901 Applied Mathematics;40 Engineering;49 Mathematical Sciences |
| Publication Date: | 13-Nov-2015 |
| Publisher: | ASME International |
| Abstract: | The smooth variable structure filter (SVSF) is a relatively new state and parameter estimation technique. Introduced in 2007, it is based on the sliding mode concept, and is formulated in a predictor-corrector fashion. The main advantages of the SVSF, over other estimation methods, are robustness to modeling errors and uncertainties, and its ability to detect system changes. Recent developments have looked at improving the SVSF from its original form. This review paper provides an overview of the SVSF, and summarizes the main advances in its theory. |
| URI: | http://hdl.handle.net/11375/31229 |
| metadata.dc.identifier.doi: | https://doi.org/10.1115/imece2015-50966 |
| ISBN: | 978-0-7918-5739-7 |
| Appears in Collections: | Mechanical Engineering Publications |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 043-gadsden_conf_043.pdf | Published version | 680.71 kB | Adobe PDF | View/Open |
Items in MacSphere are protected by copyright, with all rights reserved, unless otherwise indicated.
