Fuzzy modeling of a thermal solar plant

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.