METHODS OF REDUCING THE COMPUTATIONAL COMPLEXITY OF FUZZY INFERENCE ALGORITHMS FOR IMPLEMENTATION ON A MICROCONTROLLER WITH LIMITED COMPUTATIONAL RESOURCES

被引：0
|
作者：
Zhartybayeva, M. G. [1 ]
Tatur, M. M. [2 ]
Shaverdo, M. M. [2 ]
Iskakov, K. T. [1 ]
机构：
[1] L Gumilyov Eurasian Natl Univ, Fac Informat Technol, Pushkin St 11, Astana, Kazakhstan
[2] Belarusian State Univ Informat & Radioelect, Dept Elect Comp Machines, Minsk, BELARUS
来源：
EURASIAN JOURNAL OF MATHEMATICAL AND COMPUTER APPLICATIONS | 2019年 / 7卷 / 01期
关键词：
fuzzy inference algorithms; fuzzy logic; control system;
D O I：
10.32523/2306-6172-2019-7-1-65-78
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
In our work we suggest the most effective ways to reduce the complexity of computing fuzzy inference algorithms, which do not lead to a valuable decrease in the control quality. Our suggestions will be analytically formulated, illustrated with examples and results of model experiments.
引用
收藏
页码：65 / 78
页数：14
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