Reduction of the number of rules in fuzzy controllers using genetic algorithm

被引：0
|
作者：
Belarbi, K [1 ]
Filali, S [1 ]
Talbi, N [1 ]
Boutamina, B [1 ]
机构：
[1] Univ Constantine, Lab Automat & Robot, Constantine, Algeria
来源：
2004 IEEE International Conference on Industrial Technology (ICIT), Vols. 1- 3 | 2004年
关键词：
fuzzy logic; fuzzy controllers; genetic algorithm; optimisation;
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 procedure for designing a Mamdani fuzzy logic controller including rule base reduction is proposed. The rules are modelled with binary weights on which constraints are imposed in order to ensure consistency. A simple genetic algorithm is used for finding stabilising controllers that minimise the number of rules. The design procedure involves the rule base and the distribution of the fuzzy sets in the universes of discourses. As an example the control of the pole and cart system is studied. The optimisation procedure produced compact fuzzy controllers with five rules having relatively good robustness properties.
引用
收藏
页码：1112 / 1115
页数：4
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