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

dc.contributor.author	Gadsden SA
dc.contributor.author	Al-Shabi M
dc.contributor.author	Wilkerson SA
dc.contributor.department	Mechanical Engineering
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.date.updated	2025-03-03T16:56:17Z
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.identifier.doi	https://doi.org/10.1117/12.2587334
dc.identifier.issn	0277-786X
dc.identifier.issn	1996-756X
dc.identifier.uri	http://hdl.handle.net/11375/31298
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

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