Fuzzy estimation based on type-2 fuzzy logic for adaptive Control

被引：0
|
作者：
Chafaa, Kheireddine [1 ]
Slimane, Noureddine [2 ]
Khireddine, Mohamed Salah [1 ]
Ghanai, Mouna [1 ]
机构：
[1] Batna Univ, Fac Technol, Dept Elect, Batna, Algeria
[2] Batna Univ, Fac Technol, Dept Elect Engn, Batna, Algeria
来源：
2014 WORLD SYMPOSIUM ON COMPUTER APPLICATIONS & RESEARCH (WSCAR) | 2014年
关键词：
type-2 fuzy logic; fuzzy basis functions; fuzzy estimation; adaptive control; STATE OBSERVER; SYSTEMS;
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：
It has been proven that fuzzy systems called type-1 fuzzy systems can approximate any nonlinear function to any desired accuracy because of the universal approximation theorem. The principal problem encountered with type-1 fuzzy systems is that they can deliver a non satisfactory performance in face of uncertainty and imprecision. In this paper, a new type-2 fuzzy system based on type-2 fuzzy basis functions was developed in order to use them in an indirect adaptive control.
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页数：4
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