The Toeplitz-Observability Smooth Variable Structure Filter

dc.contributor.author	Al-Shabi MA
dc.contributor.author	Gadsden SA
dc.contributor.author	Habibi SR
dc.contributor.department	Mechanical Engineering
dc.date.accessioned	2025-02-27T20:08:04Z
dc.date.available	2025-02-27T20:08:04Z
dc.date.issued	2013-12-01
dc.date.updated	2025-02-27T20:08:03Z
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.identifier.doi	https://doi.org/10.1109/aeect.2013.6716483
dc.identifier.uri	http://hdl.handle.net/11375/31219
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

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