Title :
Fuzzy estimation based on type-2 fuzzy logic for adaptive Control
Author :
Chafaa, K. ; Khireddine, M.S. ; Slimane, N. ; Ghanai, M.
Author_Institution :
Electron. Dept., Batna Univ., Batna, Algeria
Abstract :
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.
Keywords :
adaptive control; fuzzy set theory; fuzzy systems; fuzzy estimation; fuzzy systems; indirect adaptive control; type-2 fuzzy logic; Approximation methods; adaptive control; fuzzy basis functions; fuzzy estimation; type-2 fuzy logic;
Conference_Titel :
Computer Applications & Research (WSCAR), 2014 World Symposium on
Conference_Location :
Sousse
Print_ISBN :
978-1-4799-2805-7
DOI :
10.1109/WSCAR.2014.6916823
