Synthesizing fuzzy logic systems based on Taylor expansion and input-output data
- Resource Type
- Conference
- Authors
- Yinhe Wang; Zhiyuan Li; Guanzhong Dai
- Source
- Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788) Intelligent control and automation Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on. 1:285-289 Vol.1 2004
- Subject
- Robotics and Control Systems
Computing and Processing
Fuzzy logic
Taylor series
Control system synthesis
Fuzzy sets
Educational institutions
Mathematics
Data mining
- Language
Based on two fundamental fuzzy sets and input-output data of unknown nonlinear smooth functions, the fuzzy logic systems are synthesized in this paper. The Taylor expansion provides the fixed form of fuzzy IF-THEN rules. The two fundamental fuzzy sets can extract information from the Taylor expansion. Then the input-output data determine partially the parameters of the fuzzy IF-THEN rules. The remainder parameters can be determined by the partial derivatives of finite discrete functions. Finally, the simulation shows the validity of this method.