Moving pattern-based approach to modeling of a class of complex production processes

For a class of complex production processes, based on the actual running status data, a new modeling approach based on moving pattern is presented by constructing pattern moving space and defining moving variable-pattern class variable in it. The dynamics of a class of complex production processes is characterized by the movement of pattern class variable in pattern moving space. For characterizing pattern class variable quantitatively , in this paper, interval number is used as its metric form, and our previous proposed interval T-S fuzzy model (ITSFM) is adapted to model its movement in pattern moving space. Experimental results are then presented that indicate the validity and applicability of the proposed approach.