Self-organizing fuzzy intelligent system

被引：0

作者：

Li, CS ^{[1
]}

Lee, CY ^{[1
]}

机构：

[1] Chang Gung Univ, Dept Elect Engn, Tao Yuan 333, Taiwan

来源：

CONFERENCE RECORD OF THE 2002 IEEE INDUSTRY APPLICATIONS CONFERENCE, VOLS 1-4 | 2002年

关键词：

clustering; fuzzy control; inverse learning control; random optimization; self-learning; self-organization; temperature control;

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 self-organizing fuzzy system (SOFS) is presented. A plant model is not required for training, that is, the plant model is unknown to the SOFS. Using new data types, the vectors and matrices, a concise formulation is developed for the organization process and the inference activities of the SOFS. The fuzzy system can learn its rule-based structure and parameters from input/output training data. There is no fuzzy IF-THEN rule in the system initially. The fuzzy control policy is constructed automatically during learning process when the system is simulated by input/output training data. With the well-known random optimization (RO) method, the generated fuzzy system can learn its parameters for specific applications. The proposed SOFS is applied on temperature control problem.

引用

页码：473 / 477

页数：5

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