A multiple model-based sliding innovation filter

dc.contributor.author	Al Shabi M
dc.contributor.author	Gadsden SA
dc.contributor.author	Assad MEH
dc.contributor.author	Khuwaileh B
dc.contributor.department	Mechanical Engineering
dc.contributor.editor	Grewe LL
dc.contributor.editor	Blasch EP
dc.contributor.editor	Kadar I
dc.date.accessioned	2025-03-03T16:55:05Z
dc.date.available	2025-03-03T16:55:05Z
dc.date.issued	2021-04-12
dc.date.updated	2025-03-03T16:55:04Z
dc.description.abstract	In this brief work, a novel filtering technique that combines the newly developed sliding innovation filter with a multiple model strategy is proposed. Introduced in 2020, the sliding innovation filter is a relatively new filter used for state and parameter estimation. Based on variable structure techniques, it shares the same principles with sliding mode observers. The filter is robust and stable under system modeling uncertainties. The proposed method multiple model-based sliding innovation filter is tested on an electrohydrostatic actuator (EHA) and the results are discussed.
dc.identifier.doi	https://doi.org/10.1117/12.2587343
dc.identifier.issn	0277-786X
dc.identifier.issn	1996-756X
dc.identifier.uri	http://hdl.handle.net/11375/31295
dc.publisher	SPIE, the international society for optics and photonics
dc.subject	40 Engineering
dc.subject	4001 Aerospace Engineering
dc.title	A multiple model-based sliding innovation filter
dc.type	Article

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