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dc.contributor.authorYang, Hao
dc.contributor.authorZhang, Yilian
dc.contributor.authorGu, Wei
dc.contributor.authorYang, Fuwen
dc.contributor.authorLiu, Zhiquan
dc.description.abstractThis paper is concerned with the state estimation problem for an automatic guided vehicle (AGV). A novel set-membership filtering (SMF) scheme is presented to solve the state estimation problem in the trajectory tracking process of the AGV under the unknown-but-bounded (UBB) process and measurement noises. Different from some existing traditional filtering methods, such as Kalman filtering method and (Formula presented.) filtering method, the proposed SMF scheme is developed to provide state estimation sets rather than state estimation points for the system states to effectively deal with UBB noises and reduce the requirement of the sensor precision. Then, in order to obtain the state estimation ellipsoids containing the true states, a set-membership estimation algorithm is designed based on the AGV physical model and S-procedure technique. Finally, comparison examples are presented to illustrate the effectiveness of the proposed SMF scheme for an AGV state estimation problem in the present of the UBB noises.
dc.publisherSage Publications Ltd
dc.relation.ispartofjournalTransactions of the Institute of Measurement and Control
dc.subject.fieldofresearchArtificial intelligence
dc.subject.fieldofresearchElectrical engineering
dc.subject.keywordsScience & Technology
dc.subject.keywordsAutomation & Control Systems
dc.subject.keywordsInstruments & Instrumentation
dc.subject.keywordsAutomated guided vehicle
dc.titleSet-membership filtering for automatic guided vehicles with unknown-but-bounded noises
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationYang, H; Zhang, Y; Gu, W; Yang, F; Liu, Z, Set-membership filtering for automatic guided vehicles with unknown-but-bounded noises, Transactions of the Institute of Measurement and Control, 2021
gro.description.notepublicThis publication has been entered as an advanced online version in Griffith Research Online.
gro.hasfulltextNo Full Text
gro.griffith.authorGu, Wen
gro.griffith.authorYang, Fuwen

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