Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/104620
Type: Artigo de periódico
Title: Fuzzy Instrumental Variable Methods For Systems Identification [métodos De Variável Instrumental Fuzzy Para Identificação De Sistemas]
Author: Serra G.L.O.
Bottura C.P.
Abstract: This paper presents a theoretical proposal of fuzzy instrumental variable (FIV) methods for nonlinear discrete time systems identification and parameter estimation in noisy environment based on the fuzzy instrumental variable concept. The theoretical analysis is presented using a suitable formulation associated to Takagi-Sugeno (TS) fuzzy model. The complexity of the algorithm is quite low and the statistical properties show that the assintotic error of the parameter estimates go to zero as the data series length increases.
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Rights: aberto
Identifier DOI: 
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-39749114444&partnerID=40&md5=5e830baafcfa6870b5387707894323ff
Date Issue: 2007
Appears in Collections:Unicamp - Artigos e Outros Documentos

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