Identification _net Identificação e controle de processos via desenvolvimentos em séries ortonormais. Parte A: Identificação

Ricardo J.G.B. Campello*, Gustavo H.C. Oliveira, Wagner C. Amaral

*Kontaktforfatter

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

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.

Bidragets oversatte titelIdentification and control of processes via developments in the orthonormal series Part A
OriginalsprogSpansk
TidsskriftControle y Automacao
Vol/bind18
Udgave nummer3
Sider (fra-til)301-321
ISSN0103-1759
DOI
StatusUdgivet - 2007
Udgivet eksterntJa

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