STRUCTURAL-PARAMETRIC IDENTIFICATION OF INDUSTRIAL PLANTS BASED ON ROBUST REGRESSION
The article deals with the problem of predictive mathematical modeling, which is insensitive to varying conditions of industrial plants functioning. The authors of the article discuss problems of robust regression methods and offer alternate solutions. Results of application of robust regression method with optimal parameters of weighting functions for identification of gasseparation in catcracker are presented here.
Keywords: identification, industrial plant, model structure, robust regression, weighting functions