The Luenberger sliding innovation filter for linear systems

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	2025-03-03T17:28:01Z
dc.date.available	2025-03-03T17:28:01Z
dc.date.issued	2022-06-08
dc.date.updated	2025-03-03T17:28:01Z
dc.description.abstract	In this paper, the newly developed sliding innovation filter (SIF) is reformulated to accommodate the ability of extracting the hidden states. This is accomplished by using the well-known Luenberger technique, which is commonly used by observers. In this paper, the SIF is applied to a linear system, which has fewer measurements than states. The results show that the proposed filter extracts the hidden state with small RMSE, as low as 0.1, and small MAE, as low as 1.
dc.identifier.doi	https://doi.org/10.1117/12.2619570
dc.identifier.issn	0277-786X
dc.identifier.issn	1996-756X
dc.identifier.uri	http://hdl.handle.net/11375/31313
dc.publisher	SPIE, the international society for optics and photonics
dc.subject	4007 Control Engineering, Mechatronics and Robotics
dc.subject	40 Engineering
dc.title	The Luenberger sliding innovation filter for linear systems
dc.type	Article

Files

Now showing 1 - 1 of 1