Modeling pH neutralization processes using fuzzy satisfactory clustering

被引：0
|
作者：
Li, N [1 ]
Li, SY [1 ]
Xi, YG [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Inst Automat, Shanghai 200030, Peoples R China
来源：
10TH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3: MEETING THE GRAND CHALLENGE: MACHINES THAT SERVE PEOPLE | 2001年
关键词：
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：
A fuzzy satisfactory clustering algorithm is presented in this paper. It starts with 2 duster centers and increases new center if necessary. During clustering process, former-clustering information is fully used so that convergence speed could be quickened. A system data set can be quickly divided into several satisfactory fuzzy clusters by this algorithm. A Takagi-Sugeno (T-S) type fuzzy model can then be identified. For three typical pH processes, satisfactory simulation results are obtained. The effective performance of the modified clustering algorithm is quantitatively evaluated.
引用
收藏
页码：308 / 311
页数：4
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