Fuzzy model-based predictive temperature control

被引：0
|
作者：
Kozák, S [1 ]
Vassileva, S [1 ]
Kozáková, A [1 ]
机构：
[1] Slovak Univ Technol Bratislava, Fac Elect Engn & Informat Technol, Dept Automat Control Syst, Bratislava 81219, Slovakia
来源：
ESS'98 - SIMULATION TECHNOLOGY: SCIENCE AND ART | 1998年
关键词：
fuzzy logic control (FLC); NN-based adaptive rule base optimization; ANFIS; viscosity temperature control; simulation;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Fuzzy logic is a fruitful approach in many control applications where conventional strategies call for long lookup tables or complex equation solving. Fuzzy mechanism employment can result in a higher accuracy and smoother control as well. Due to the complexity of optimal temperature control in industry a fuzzy logic controller (FLC) has been developed in internal fuzzy process model-based control sense. The FLC structure has been fine-tuned by implementing the adaptive neuro-fuzzy inference system (ANFIS) involved in the Fuzzy Toolbox of Matlab with Simulink, ver. 5.1.
引用
收藏
页码：313 / 317
页数：5
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