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Fuzzy modeling of a thermal solar plant
Author(s) -
LópezBaldán M. J.,
GarcíaCerezo A.,
López J. M. Cejudo,
Gallego A. Romero
Publication year - 2002
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.10026
Subject(s) - fuzzy logic , black box , process (computing) , computer science , solar energy , identification (biology) , system identification , nonlinear system , neuro fuzzy , thermal , fuzzy control system , control engineering , data modeling , engineering , artificial intelligence , meteorology , botany , physics , quantum mechanics , database , electrical engineering , biology , operating system
Fuzzy modeling has been widely applied as a powerful methodology for the identification of nonlinear systems from process measurements. In particular, the design of black‐box approaches based on fuzzy models has been recognized as an alternative to mathematical methods. This article deals with the application of modeling and identification techniques for obtaining two fuzzy models of a solar domestic hot water system. The models have been generated in order to estimate the energy supplied by a thermal solar system and the output temperature of the water, respectively. The methods have been applied by using only the experimental input/output data taken from the process. © 2002 Wiley Periodicals, Inc.