Fuzzy Clustering Based Spatiotemporal Fuzzy Logic Controller Design

被引：0

作者：

Zhang, Xian-xia ^{[1
]}

Li, Jiajia ^{[1
]}

Jiang, Ye ^{[1
]}

Su, Baili ^{[2
]}

Qi, Chenkun ^{[3
]}

Zou, Tao ^{[4
]}

机构：

[1] Shanghai Univ, Sch Mechatron & Automat, Shanghai Key Lab Power Stn Automat Technol, Shanghai 200072, Peoples R China

[2] Qufu Normal Univ, Sch Elect Informat & Automat, Rizhao 276826, Shandong, Peoples R China

[3] Shanghai Jiao Tong Univ, State Key Lab Mech Syst & Vibrat, Sch Mech Engn, Shanghai 200240, Peoples R China

[4] Zhejiang Univ Technol, Coll Informat Engn, Hangzhou 310014, Zhejiang, Peoples R China

来源：

PROCEEDINGS OF THE 10TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA 2012) | 2012年

基金：

高等学校博士学科点专项科研基金;

关键词：

three-dimensional fuzzy set; fuzzy logic controller; type-2 fuzzy set; fuzzy clustering; controller design; SYSTEMS;

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：

Three-dimensional fuzzy logic controller (3-D FLC) is a novel FLC developed for spatially-distributed parameter systems. In this study, we concentrate on the data-driven based 3D FLC design. Firstly, an initial rule-base of 3-D FLC is learned by fuzzy c-means algorithm from spatial-temporal data set. Then, the rule-base is reduced by using distance-based similarity measure to check similar fuzzy sets and similar rules. Finally, the parameters are refined by a gradient-descent approach. A catalytic packed-bed reactor is taken as an application to demonstrate the effectiveness of the proposed 3-D FLC design method.

引用

页码：3167 / 3172

页数：6

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