Identification of Nonlinear Soft Sensor Models of Industrial Distillation Process under Uncertainty

The advancement of method of nonlinear soft sensor development using a nonparametric approach based on the example of industrial multicomponent distillation column is considered. The proposed procedure for soft-sensors evaluation is directed to overcome such difficulties in practice as process nonlinearity and uncertainty due to unknown model structure and measurement errors of output.