Application of fuzzy clustering for identification of a nonlinear industrial process

被引：0

作者：

Moshiri, B ^{[1
]}

Maleki, SC ^{[1
]}

机构：

[1] Univ Teheran, Dept Elect & Comp Engn, Tehran, Iran

来源：

NONLINEAR CONTROL SYSTEMS DESIGN 1998, VOLS 1& 2 | 1998年

关键词：

fuzzy; clustering; nonlinear process; modeling;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a fuzzy logic approach to nonlinear system identification which is based on fuzzy clustering technique. As compared with other modeling methods,the proposed approach has the advantage of simplicity, flexibility, and high accuracy. Further, it is easy to use and may be handled by an automatic procedure. A nonlinear process example (i.e; Heat exchanger) is provided to illustrate the performance of the proposed approach. Copyright (C) 1998 IFAC.

引用

页码：369 / 372

页数：4

共 6 条

[1]

BOW ST, 1992, PATTERN RECOGNITION

[2]

LUYBEN WL, 1990, PROCESS MODELING SIM, P49

[3] EFFECTS OF OPERATING-CONDITIONS ON STABILITY OF GAS-PHASE POLYETHYLENE REACTORS [J].