DiCC-SFA-based dynamic internal slow feature extraction method for methyltin reaction process

The invention provides a method for extracting dynamic internal slow features in a methyltin reaction process based on DiCC-SFA. The method comprises the following steps: obtaining a first objective function and a second objective function of dynamic internal slow feature extraction of the methyltin reaction according to a methyltin reaction process data set; determining a dynamic order of the autoregression prediction model of the methyltin reaction and weight coefficients of the first objective function and the second objective function, and obtaining a calculation rule of an autoregression coefficient matrix and a calculation rule of a scalar mapping matrix; extracting slow characteristics of the methyltin reaction from the methyltin reaction process data set; obtaining the number of main slow features according to the extracted slow features; according to the slow degree of the slow features, the number of main slow features, a calculation rule of an autoregression coefficient matrix and a calculation rul