Application of the sliding innovation filter to complex road

Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/31312

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DC Field	Value	Language
dc.contributor.author	AlShabi M	-
dc.contributor.author	Gadsden A	-
dc.contributor.editor	Grewe LL	-
dc.contributor.editor	Blasch EP	-
dc.contributor.editor	Kadar I	-
dc.date.accessioned	2025-03-03T17:27:43Z	-
dc.date.available	2025-03-03T17:27:43Z	-
dc.date.issued	2022-06-08	-
dc.identifier.issn	0277-786X	-
dc.identifier.issn	1996-756X	-
dc.identifier.uri	http://hdl.handle.net/11375/31312	-
dc.description.abstract	The sliding innovation filter (SIF) is a newly developed filter that may be applied to both linear and non-linear systems. The SIF shares similar principles with sliding mode observers (SMO) and other variable structure filters such as the smooth variable structure filter (SVSF). The SIF utilizes the true trajectory as a hyperplane and forces the estimates to stay within a region of the hyperplane through the use of a discontinuous correction gain. In this paper, the SIF is applied to the well-known complex road estimation problem with nonlinear system function. The results of the application are compared with the SVSF, and future work is discussed.	-
dc.publisher	SPIE, the international society for optics and photonics	-
dc.subject	4007 Control Engineering, Mechatronics and Robotics	-
dc.subject	40 Engineering	-
dc.title	Application of the sliding innovation filter to complex road	-
dc.type	Article	-
dc.date.updated	2025-03-03T17:27:42Z	-
dc.contributor.department	Mechanical Engineering	-
dc.identifier.doi	https://doi.org/10.1117/12.2619571	-
Appears in Collections:	Mechanical Engineering Publications

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