DocumentCode
2040365
Title
Application of fuzzy neural networks in fuzzy adaptive control
Author
Liu Pelin ; Yie Deming ; Shi Yonghuan
Author_Institution
Dept. of Syst. & Eng., Nat. Univ. of Defense Technol., Hunan, China
Volume
2
fYear
1993
fDate
19-21 Oct. 1993
Firstpage
830
Abstract
In recent years, studies on fuzzy neural networks (FNN) have been developed on the basis of the theory of neural networks and fuzzy sets. In this paper, we introduce the concept of fuzzy neurons and neural nets constructed from fuzzy neurons, present a new kind of FNN, and give its structure and its adaptive learning algorithm. Then we apply the FNN to fuzzy adaptive control. By simulation, we prove the effectiveness and feasibility of applying the FNN in fuzzy adaptive control.<>
Keywords
adaptive control; fuzzy control; learning (artificial intelligence); neural nets; adaptive learning algorithm; fuzzy adaptive control; fuzzy neural networks; fuzzy neurons; fuzzy sets; network structure; simulation; Adaptive control; Error correction; Fuzzy control; Fuzzy neural networks; Fuzzy reasoning; Fuzzy sets; Input variables; Intelligent networks; Neural networks; Neurons;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on
Conference_Location
Beijing, China
Print_ISBN
0-7803-1233-3
Type
conf
DOI
10.1109/TENCON.1993.320142
Filename
320142
Link To Document