Moving pattern measured by interval number for modeling and control
基于区间数度量的运动模式建模与控制

On the basis of our previous work on moving pattern-based modeling and control method for a class of complex production processes, we propose using the interval number as the measure of the pattern class variable, and develop a new modeling and control method of the moving pattern measured by the interval number. In this approach, using K-means clustering algorithm, the long-time collection of patterns in operating conditions is clustered into C pattern classes to build a scaled space of patterns. To describe the motion of patterns, we introduce the interval autoregressive model with exogenous input (IARX). With the IARX model, we develop the control model and the control algorithm for the pattern class variable. Practical experimental results are presented for demonstrating the validity and feasibility of the proposed approach of modeling and control.