Nonlinear dynamic models with uncertainties measured by fuzzy sets for radiator-heated buildings

Dynamic models are indispensable for the optimization, prediction and control of thermal comfort in buildings.A new method is proposed for modeling the nonlinear dynamics of radiator-heated buildings and measuring modeluncertainties. The model uncertainty range obtained by the method can describe the uncertainties in the presence of model structure deviations and unknown noise distributions, without making restrictive assumptions that the noise follows a Gaussian distribution as in existing methods.