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
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;
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
DOI :
10.1109/TENCON.1993.320142
