A fuzzy-smooth variable structure filtering strategy: For state and parameter estimation

dc.contributor.author	Gadsden SA
dc.contributor.author	Al-Shabi MA
dc.contributor.author	Habibi SR
dc.contributor.department	Mechanical Engineering
dc.date.accessioned	2025-02-27T20:08:38Z
dc.date.available	2025-02-27T20:08:38Z
dc.date.issued	2013-01-01
dc.date.updated	2025-02-27T20:08:38Z
dc.description.abstract	This article introduces a new filtering strategy based on combining elements of fuzzy logic and the smooth variable structure filter (SVSF). A revised formulation of the SVSF is presented in an effort to combine it with fuzzy logic, and is referred to as the RSVSF. Computer simulations are used to compare the new strategy, referred to as the Fuzzy-SVSF, with other popular Kalman-based estimation methods. Preliminary results indicate that combining fuzzy logic with the SVSF yields an improved estimation result and improved stability to system and modeling changes and uncertainties. © 2013 IEEE.
dc.identifier.doi	https://doi.org/10.1109/AEECT.2013.6716481
dc.identifier.uri	http://hdl.handle.net/11375/31220
dc.publisher	IEEE
dc.title	A fuzzy-smooth variable structure filtering strategy: For state and parameter estimation
dc.type	Article

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