Application of the sliding innovation filter to complex road

dc.contributor.author	AlShabi M
dc.contributor.author	Gadsden A
dc.contributor.department	Mechanical Engineering
dc.contributor.editor	Grewe LL
dc.contributor.editor	Blasch EP
dc.contributor.editor	Kadar I
dc.date.accessioned	2025-03-03T17:27:43Z
dc.date.available	2025-03-03T17:27:43Z
dc.date.issued	2022-06-08
dc.date.updated	2025-03-03T17:27:42Z
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.identifier.doi	https://doi.org/10.1117/12.2619571
dc.identifier.issn	0277-786X
dc.identifier.issn	1996-756X
dc.identifier.uri	http://hdl.handle.net/11375/31312
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

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