Show simple item record

dc.contributor.advisorHabibi, Saeid R.en_US
dc.creatorHan, Lee-Ryeoken_US
dc.date.accessioned2004-09-20T18:56:18Zen_US
dc.date.accessioned2013-01-04T04:59:26Z
dc.date.available2004-09-22T08:00:00Zen_US
dc.date.available2013-01-04T04:59:26Z
dc.date.created2004-06en_US
dc.date.issued2004-06-14en_US
dc.date.submittedJune 2004en_US
dc.identifier.urihttp://hdl.handle.net/10388/etd-09202004-185618en_US
dc.description.abstractThis thesis considers the combination of Fuzzy logic and Kalman Filtering that have traditionally been considered to be radically different. The former is considered heuristic and the latter statistical. In this thesis a philosophical justification for their combination is presented. Kalman Filtering is revised to enable the incorporation of fuzzy logic in its formulation. This formulation is subsequently referred to as the Revised-Kalman Filter. Heuristic membership functions are then used in the Revised-Kalman Filter to substitute for the system and measurement covariance matrices to form a fuzzy rendition of the Kalman Filter. The Fuzzy Kalman Filter formulation is further revised according to a concept referred to as the “Parallel Distributed Compensation” to allow for further heuristic adjustment of the corrective gain. This formulation is referred to as the Parallel Distributed Compensated-Fuzzy Kalman Filter. Simulated implementations of the above filters reveal that a tuned Kalman Filter provides the best performance. However, if conditions change, the Kalman filter’s performance degrades and a better performance is obtained from the two versions of the Fuzzy Kalman Filters.en_US
dc.language.isoen_USen_US
dc.subjectControlen_US
dc.subjectIdentificationen_US
dc.subjectGame theoryen_US
dc.subjectEstimationen_US
dc.subjectMarriageen_US
dc.subjectKalman filteren_US
dc.subjectSystemen_US
dc.subjectFuzzyen_US
dc.subjectStateen_US
dc.titleA Fuzzy-Kalman filtering strategy for state estimationen_US
thesis.degree.departmentMechanical Engineeringen_US
thesis.degree.disciplineMechanical Engineeringen_US
thesis.degree.grantorUniversity of Saskatchewanen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Science (M.Sc.)en_US
dc.type.materialtexten_US
dc.type.genreThesisen_US
dc.contributor.committeeMemberGokaraju, Ramakrishnaen_US
dc.contributor.committeeMemberDolovich, Allan T.en_US
dc.contributor.committeeMemberBurton, Richard T.en_US
dc.contributor.committeeMemberSchoenau, Greg J.en_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record