Please use this identifier to cite or link to this item:
http://hdl.handle.net/11375/31312| Title: | Application of the sliding innovation filter to complex road |
| Authors: | AlShabi M Gadsden A |
| Department: | Mechanical Engineering |
| Keywords: | 4007 Control Engineering, Mechatronics and Robotics;40 Engineering |
| Publication Date: | 8-Jun-2022 |
| Publisher: | SPIE, the international society for optics and photonics |
| Abstract: | The sliding innovation filter (SIF) is a newly developed filter that may be applied to both linear and non-linear systems. The SIF shares similar principles with sliding mode observers (SMO) and other variable structure filters such as the smooth variable structure filter (SVSF). The SIF utilizes the true trajectory as a hyperplane and forces the estimates to stay within a region of the hyperplane through the use of a discontinuous correction gain. In this paper, the SIF is applied to the well-known complex road estimation problem with nonlinear system function. The results of the application are compared with the SVSF, and future work is discussed. |
| URI: | http://hdl.handle.net/11375/31312 |
| metadata.dc.identifier.doi: | https://doi.org/10.1117/12.2619571 |
| ISSN: | 0277-786X 1996-756X |
| Appears in Collections: | Mechanical Engineering Publications |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 127-121220A.pdf | Published version | 382.94 kB | Adobe PDF | View/Open |
Items in MacSphere are protected by copyright, with all rights reserved, unless otherwise indicated.
