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Cleveland State University EngagedScholarship@CSU Electrical Engineering Computer Science Faculty Electrical Engineering Computer Science Publications Department 11-2003 Kalman Filtering for Fuzzy Discrete Time Dynamic Systems Daniel J. Simon Cleveland State University, d.j.simon@ Follow this and additional works at : /enece_facpub Part of the Electrical and Computer Engineering Commons Publishers Statement N TICE : this is the author’s version of a work that was accepted for publication in Applied Soft Computing. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Applied Soft Computing, 3, 3, (11-01-2003); 10.1016/ S1568-4946(03)00034-6 Original Citation D. Simon. (2003). Kalman Filtering for Fuzzy Discrete Time Dynamic Systems. Applied Soft Computing, 3(3), 191-207. Repository Citation Simon, Daniel J., Kalman Filtering for Fuzzy Discrete Time Dynamic Systems (2003). Electrical Eng ineering Co mpu ter Science Faculty P ublications. Paper 159. /enece_facpub/159 This Article is brought to you for free and open access by the Electrical Engineering Computer Science Department at EngagedScholarship@CSU. It has been accepted for inclusion in Electrical Engineering Computer Science Faculty Publications by an authorized administrator of EngagedScholarship@CSU. For more information, please contact library.es@. Kalman filtering for fuzzy discrete time dynami c systems Dan Simon · Ckpanmt· ofEloctrlcal Ellg/tlCer/IIB. C/cIC/Rlld 5ww Utlfn.,rs