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http://hdl.handle.net/11375/31316
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DC Field | Value | Language |
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dc.contributor.author | Hilal W | - |
dc.contributor.author | Gadsden SA | - |
dc.contributor.author | Wilkerson SA | - |
dc.contributor.author | Al-Shabi M | - |
dc.contributor.editor | Grewe LL | - |
dc.contributor.editor | Blasch EP | - |
dc.contributor.editor | Kadar I | - |
dc.date.accessioned | 2025-03-03T17:29:00Z | - |
dc.date.available | 2025-03-03T17:29:00Z | - |
dc.date.issued | 2022-06-08 | - |
dc.identifier.isbn | 978-1-5106-5120-3 | - |
dc.identifier.issn | 0277-786X | - |
dc.identifier.issn | 1996-756X | - |
dc.identifier.uri | http://hdl.handle.net/11375/31316 | - |
dc.description.abstract | The sliding innovation filter (SIF) 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 SIF, a square-root formulation is derived. The square-root SIF 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. | - |
dc.publisher | SPIE, the international society for optics and photonics | - |
dc.subject | 40 Engineering | - |
dc.subject | 4001 Aerospace Engineering | - |
dc.title | A square-root formulation of the sliding innovation filter for target tracking | - |
dc.type | Article | - |
dc.date.updated | 2025-03-03T17:29:00Z | - |
dc.contributor.department | Mechanical Engineering | - |
dc.identifier.doi | https://doi.org/10.1117/12.2618965 | - |
Appears in Collections: | Mechanical Engineering Publications |
Files in This Item:
File | Description | Size | Format | |
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131-1212203.pdf | Published version | 413.37 kB | Adobe PDF | View/Open |
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