Please use this identifier to cite or link to this item:
http://hdl.handle.net/11375/31225| Title: | Square-root formulation of the SVSF with applications to nonlinear target tracking problems |
| Authors: | Gadsden SA Al-Shabi M Kirubarajan T |
| Department: | Mechanical Engineering |
| Keywords: | 40 Engineering;4006 Communications Engineering;4009 Electronics, Sensors and Digital Hardware;51 Physical Sciences;5102 Atomic, Molecular and Optical Physics |
| Publication Date: | 21-May-2015 |
| Publisher: | SPIE, the international society for optics and photonics |
| Abstract: | The smooth variable structure filter (SVSF) is a state and parameter estimation strategy based on sliding mode concepts. It has seen significant development and research activity in recent years. In an effort to improve upon the numerical stability of the SVSF, a square-root formulation is derived. The square-root SVSF is based on Potter's algorithm. The proposed formulation is computationally more efficient and reduces the risks of failure due to numerical instability. The new strategy is applied on target tracking scenarios for the purposes of state estimation. The results are compared with the popular Kalman filter. |
| URI: | http://hdl.handle.net/11375/31225 |
| metadata.dc.identifier.doi: | https://doi.org/10.1117/12.2177226 |
| ISSN: | 0277-786X 1996-756X |
| Appears in Collections: | Mechanical Engineering Publications |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 039-gadsden_conf_039.pdf | Published version | 841.95 kB | Adobe PDF | View/Open |
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