Optimization Of Volterra Models With Asymmetrical Kernels Based On Generalized Orthonormal Functions

dc.creatorBraga M.F.
dc.creatorMacHado J.B.
dc.creatorCampello R.J.G.B.
dc.creatorDo Amaral W.C.
dc.date2011
dc.date2015-06-30T20:28:02Z
dc.date2015-11-26T14:49:40Z
dc.date2015-06-30T20:28:02Z
dc.date2015-11-26T14:49:40Z
dc.date.accessioned2018-03-28T22:00:45Z
dc.date.available2018-03-28T22:00:45Z
dc.identifier9781457701252
dc.identifier2011 19th Mediterranean Conference On Control And Automation, Med 2011. , v. , n. , p. 1052 - 1058, 2011.
dc.identifier
dc.identifier10.1109/MED.2011.5983003
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-80052352457&partnerID=40&md5=7641df68723be23c25d07b5fab5ceaa7
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/108041
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/108041
dc.identifier2-s2.0-80052352457
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1253976
dc.descriptionAn improved approach to determine exact search directions for the optimization of Volterra models based on Generalized Orthonormal Bases of Functions (GOBF) is proposed. The proposed approach extends the work in [7], where a novel, exact technique for optimizing the GOBF parameters (poles) for Volterra models of any order was presented. The proposed extensions take place in two different ways: (i) the formulation here is derived in such a way that each multidimensional kernel of the model is decomposed into a set of independent orthonormal bases (rather than a single, common basis), each of which is parameterized by an individual set of poles intended for representing the dominant dynamic of the kernel along a particular dimension; and (ii) a novel, more computationally efficient method to analytically and recursively calculate the search directions (gradients) for the bases poles is derived. A simulated example is presented to illustrate the performance of the proposed approach. A comparison between the proposed method, which uses asymmetric kernels with multiple orthonormal bases, and the original method, which uses symmetric kernels with a single basis, is presented. © 2011 IEEE.
dc.description
dc.description
dc.description1052
dc.description1058
dc.descriptionMediterranean Control Association
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dc.languageen
dc.publisher
dc.relation2011 19th Mediterranean Conference on Control and Automation, MED 2011
dc.rightsfechado
dc.sourceScopus
dc.titleOptimization Of Volterra Models With Asymmetrical Kernels Based On Generalized Orthonormal Functions
dc.typeActas de congresos


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