Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/118293
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dc.contributor.authorAhn, C.-
dc.contributor.authorShi, P.-
dc.contributor.authorBasin, M.-
dc.date.issued2018-
dc.identifier.citationIEEE Transactions on Automatic Control, 2018; 63(5):1472-1479-
dc.identifier.issn0018-9286-
dc.identifier.issn1558-2523-
dc.identifier.urihttp://hdl.handle.net/2440/118293-
dc.description.abstractThis paper is concerned with the problem of two-dimensional (2-D) stochastic peak-to-peak filter design for Fornasini-Marchesini local state-space (FM LSS) systems with state-multiplicative noise. First, a novel sufficient condition is established, which guarantees that the underlying FM LSS system is stochastically mean-square stable with 2-D stochastic peak-to-peak performance. A deterministic FM LSS system case is also discussed. Subsequently, based on the result, a new 2-D stochastic peak-to-peak filter of general form is designed for FM LSS systems with state-multiplicative noise. Finally, a numerical example is presented to show the effectiveness of the proposed 2-D stochastic peak-to-peak filter.-
dc.description.statementofresponsibilityChoon Ki Ahn, Peng Shi and Michael V. Basin-
dc.language.isoen-
dc.publisherIEEE-
dc.rights© 2017 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications standards/publications/rights/index.html for more information.-
dc.subjectFornasini-Marchesini local state-space (FM LSS) model; stochastic peak-to-peak filtering; two-dimensional (2-D) systems-
dc.titleTwo-dimensional peak-to-peak filtering for stochastic Fornasini-Marchesini systems-
dc.typeJournal article-
dc.identifier.doi10.1109/TAC.2017.2747761-
dc.relation.granthttp://purl.org/au-research/grants/arc/DP170102644-
pubs.publication-statusPublished-
dc.identifier.orcidShi, P. [0000-0001-8218-586X]-
Appears in Collections:Aurora harvest 3
Electrical and Electronic Engineering publications

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