Multirate Generalized Predictive Control for Multivariable Systems

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dc.contributor.authorOh, Jun-Hoko
dc.contributor.authorI O Park,ko
dc.date.accessioned2013-02-25T23:38:01Z-
dc.date.available2013-02-25T23:38:01Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued1994-01-
dc.identifier.citationJOURNAL OF SYSTEMS CONTROL ENGINEER, v.207, no.0, pp.253 - 260-
dc.identifier.issn0957-6509-
dc.identifier.urihttp://hdl.handle.net/10203/66055-
dc.description.abstractThe purpose of this paper is to drive the adaptive multi-rate generalized predictive control for multi-variable systems in a stochastic framework. Modelling disturbances as white noise is inadequate for process control because most disturbances encountered in process control are coloured or non-stationary in nature. For that reason a stochastic parallel model identification algorithm for a multi-rate-sampled system is proposed. No attempt is made to identify the noise model. Hence the algorithm is applicable to any measurement noise case. The measurement noise can be arbitrary (for example coloured or non-stationary noise), except for the assumption that it and control inputs are stochastically uncorrelated. Then the control algorithm based on the generalized predictive control is proposed. In order to demonstrate the effectiveness of the proposed control algorithm a simulation study is carried out. The closed-loop performances are excellent.-
dc.languageEnglish-
dc.publisherInstitution of Mechanical Engineers-
dc.titleMultirate Generalized Predictive Control for Multivariable Systems-
dc.typeArticle-
dc.type.rimsART-
dc.citation.volume207-
dc.citation.issue0-
dc.citation.beginningpage253-
dc.citation.endingpage260-
dc.citation.publicationnameJOURNAL OF SYSTEMS CONTROL ENGINEER-
dc.contributor.localauthorOh, Jun-Ho-
dc.contributor.nonIdAuthorI O Park,-
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ME-Journal Papers(저널논문)
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