The Toeplitz-Observability Smooth Variable Structure Filter

Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/31219

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DC Field	Value	Language
dc.contributor.author	Al-Shabi MA	-
dc.contributor.author	Gadsden SA	-
dc.contributor.author	Habibi SR	-
dc.date.accessioned	2025-02-27T20:08:04Z	-
dc.date.available	2025-02-27T20:08:04Z	-
dc.date.issued	2013-12-01	-
dc.identifier.uri	http://hdl.handle.net/11375/31219	-
dc.description.abstract	The smooth variable structure filter (SVSF) is a recently proposed method that is used for estimation purposes, such as fault detection [1-2]. The SVSF demonstrates good results and robustness when it is applied to linear and nonlinear systems that are fully measured. However, the results differ when some of the states are not measured. In this case, the SVSF is combined with the Luenberger method, which has some limitations. In this paper, a novel form of the SVSF is derived using the Observability and Toeplitz matrices. The benefits of the proposed method are demonstrated by using a computer simulation that involves an electro-hydrostatic actuator proposed in [3-5].	-
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)	-
dc.subject	4901 Applied Mathematics	-
dc.subject	49 Mathematical Sciences	-
dc.subject	4007 Control Engineering, Mechatronics and Robotics	-
dc.subject	40 Engineering	-
dc.title	The Toeplitz-Observability Smooth Variable Structure Filter	-
dc.type	Article	-
dc.date.updated	2025-02-27T20:08:03Z	-
dc.contributor.department	Mechanical Engineering	-
dc.identifier.doi	https://doi.org/10.1109/aeect.2013.6716483	-
Appears in Collections:	Mechanical Engineering Publications

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