FUZZY MODELING AND PATTERN-RECOGNITION FOR DYNAMIC PROCESSES AND ITS APPLICATION FOR AN ACTIVATED-SLUDGE PROCESS

被引：9

作者：

FU, CS ^{[1
]}

POCH, M ^{[1
]}

机构：

[1] UNIV AUTONOMA BARCELONA, UNITAT ENGN QUIM, E-08193 BARCELONA, SPAIN

来源：

CHEMICAL ENGINEERING SCIENCE | 1995年 / 50卷 / 23期

关键词：

D O I：

10.1016/0009-2509(95)00204-I

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

Understanding process dynamic characteristics is very important to realize system dynamic control. The modeling method is one of the effective ways to characterize and understand a controlled process. However, dynamic characteristics for some industrial processes are too complex to be characterized by the traditional mathematical modeling method. In order to handle on-line recognition problems of some complex industrial process, a new modeling method with a self-learning function is proposed by using the theories of fuzzy sets and pattern recognition. Although subtle changes in processes are not the goal to be recognized by this method, general changing trends in processes will be understood using the proposed fuzzy recognition model, which is good to realize suboptimal process control. Modeling and simulation results for an activated sludge process are introduced.

引用

页码：3715 / 3725

页数：11

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