Development of a second-order sliding innovation filter for an aerospace system

Gadsden SA; Al-Shabi M; Wilkerson SA

Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/31298

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DC Field	Value	Language
dc.contributor.author	Gadsden SA	-
dc.contributor.author	Al-Shabi M	-
dc.contributor.author	Wilkerson SA	-
dc.contributor.editor	Pham KD	-
dc.contributor.editor	Chen G	-
dc.date.accessioned	2025-03-03T16:56:17Z	-
dc.date.available	2025-03-03T16:56:17Z	-
dc.date.issued	2021-04-12	-
dc.identifier.issn	0277-786X	-
dc.identifier.issn	1996-756X	-
dc.identifier.uri	http://hdl.handle.net/11375/31298	-
dc.description.abstract	The sliding innovation filter is a new type of predictor-corrector estimation method. The strategy is used to estimate relevant states of interests and has been found to be robust to modeling uncertainties and disturbances. In this paper, a second-order formulation of the sliding innovation filter is presented to improve its estimation performance in terms of accuracy while maintaining robustness. The strategy is applied to an aerospace system that has been designed for experimentation. The results are compared with the well-known Kalman filter, and future work is considered.	-
dc.publisher	SPIE, the international society for optics and photonics	-
dc.subject	4007 Control Engineering, Mechatronics and Robotics	-
dc.subject	40 Engineering	-
dc.subject	4001 Aerospace Engineering	-
dc.subject	4010 Engineering Practice and Education	-
dc.title	Development of a second-order sliding innovation filter for an aerospace system	-
dc.type	Article	-
dc.date.updated	2025-03-03T16:56:17Z	-
dc.contributor.department	Mechanical Engineering	-
dc.identifier.doi	https://doi.org/10.1117/12.2587334	-
Appears in Collections:	Mechanical Engineering Publications

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