An Adaptive Formulation of the Sliding Innovation Filter
| dc.contributor.author | Lee AS | |
| dc.contributor.author | Gadsden SA | |
| dc.contributor.author | Al-Shabi M | |
| dc.contributor.department | Mechanical Engineering | |
| dc.date.accessioned | 2025-02-27T14:24:56Z | |
| dc.date.available | 2025-02-27T14:24:56Z | |
| dc.date.issued | 2021-01-01 | |
| dc.date.updated | 2025-02-27T14:24:56Z | |
| dc.description.abstract | In this paper, an adaptive formulation of the sliding innovation filter (SIF) is presented. The SIF is a recently proposed estimation strategy that has demonstrated robustness to modeling errors and uncertainties. It utilizes a switching gain that is a function of the innovation (measurement error) and sliding boundary layer term. In this paper, a time-varying sliding boundary layer is derived based on minimizing the state error covariance. The resulting solution creates an adaptive formulation of the SIF. The adaptive SIF is applied on a linear aerospace system, and is compared with the well-known Kalman filter (KF) and the standard SIF. The results demonstrate the robustness of the new estimation strategy in the presence of modeling uncertainties and system faults. | |
| dc.identifier.doi | https://doi.org/10.1109/lsp.2021.3089918 | |
| dc.identifier.issn | 1070-9908 | |
| dc.identifier.issn | 1558-2361 | |
| dc.identifier.uri | http://hdl.handle.net/11375/31120 | |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | |
| dc.subject | 4006 Communications Engineering | |
| dc.subject | 4007 Control Engineering, Mechatronics and Robotics | |
| dc.subject | 40 Engineering | |
| dc.subject | 4001 Aerospace Engineering | |
| dc.title | An Adaptive Formulation of the Sliding Innovation Filter | |
| dc.type | Article |
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