Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/75899
Type: Artigo de periódico
Title: A highly adaptive algorithm for fuzzy modelling of systems
Author: Campello, RJGB
Nazzetta, RM
do Amaral, WC
Abstract: An optimization-based methodology for on-line discrete-time fuzzy relational model identification is proposed. Approximated solutions for extended fuzzy relational equations are derived without the necessity of the previous identification of an appropriate initial fuzzy relation. A heuristic is used making the algorithm capable of solving the identification problem when the fuzzy relational matrix is biased. A set of quadratic performance indices containing only fuzzy quantities provides accurate results and allows the utilization of a simple optimization method. The efficiency of the proposed methodology is illustrated using two numerical examples in which synthetic data are generated by the identified models.
Subject: fuzzy models
fuzzy relational equations
system identification
non-linear systems
Country: Singapura
Editor: World Scientific Publ Co Pte Ltd
Rights: fechado
Identifier DOI: 10.1142/S0218488598000033
Date Issue: 1998
Appears in Collections:Unicamp - Artigos e Outros Documentos

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