Crhpc Using Volterra Models And Orthonormal Basis Functions: An Application To Cstr Plants

dc.creatorOliveira G.H.C.
dc.creatorAmaral W.C.
dc.creatorLatawiec K.
dc.date2003
dc.date2015-06-30T17:32:35Z
dc.date2015-11-26T14:11:58Z
dc.date2015-06-30T17:32:35Z
dc.date2015-11-26T14:11:58Z
dc.date.accessioned2018-03-28T21:12:33Z
dc.date.available2018-03-28T21:12:33Z
dc.identifier
dc.identifierIeee Conference On Control Applications - Proceedings. , v. 1, n. , p. 718 - 723, 2003.
dc.identifier
dc.identifier
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-0344121594&partnerID=40&md5=88ea4f8523943b3aef8278d7bc653297
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/102561
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/102561
dc.identifier2-s2.0-0344121594
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1241869
dc.descriptionThis work is focused on predictive control of non-linear systems modelled by Volterra series with orthonormal basis functions expansion (Volterra-OBF). By using Volterra series, any non-linear analytical operator with finite memory can be approximated with an arbitrary precision. A Laguerre basis expansion is then used in the model parameterization to reduce the number of coefficients of the Volterra model. In this context, a predictive control with terminal constraints window based on cited model is proposed. Finally, simulated results using a CSTR unit illustrates the control scheme performance.
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dc.languageen
dc.publisher
dc.relationIEEE Conference on Control Applications - Proceedings
dc.rightsfechado
dc.sourceScopus
dc.titleCrhpc Using Volterra Models And Orthonormal Basis Functions: An Application To Cstr Plants
dc.typeActas de congresos


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