Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/104611
Type: Artigo de periódico
Title: Identification And Control Of Processes Via Developments In The Orthonormal Series Part A: Identification _net Identificação E Controle De Processos Via Desenvolvimentos Em Séries Ortonormais. Parte A: Identificação
Author: Campello R.J.G.B.
Oliveira G.H.C.
Amaral W.C.
Abstract: In this paper, an overview about the identification of dynamic systems using orthonormal basis function models, such as those based on Laguerre and Kautz functions, is presented. The mathematical foundations of these models as well as their advantages and limitations are discussed within the contexts of linear, robust, and nonlinear identification. The discussions comprise a broad bibliographical survey on the subject and a comparative analysis involving some specific model realizations, namely, linear, Volterra, fuzzy, and neural models within the orthonormal basis function framework. Theoretical and practical issues regarding the identification of these models are also presented and illustrated by means of two case studies related to a polymerization process.
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Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-39749135512&partnerID=40&md5=ad35712472a8be9282d3fda02dc52cc9
Date Issue: 2007
Appears in Collections:Unicamp - Artigos e Outros Documentos

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