DocumentCode
3485422
Title
Application of fuzzy neural network control to automatic train operation and tuning of its control rules
Author
Sekine, Satoshi ; Imasaki, Naoki ; Endo, Tsunekazu
Author_Institution
Syst. & Software Eng. Lab., Toshiba Corp., Kawasaki, Japan
Volume
4
fYear
1995
fDate
20-24 Mar 1995
Firstpage
1741
Abstract
We have proposed two-degree-of-freedom fuzzy neural network control systems. It has a hierarchical structure of two sets of control knowledge, thus it is easy to extract and refine fuzzy rules before and after the operation has started, and the number of fuzzy rules is reduced. This paper shows an example application of automatic train operation and presents a rule tuning method
Keywords
fuzzy control; fuzzy neural nets; hierarchical systems; neurocontrollers; railways; automatic train operation; control rules tuning; fuzzy control; fuzzy neural network control; hierarchical control structure; railways; Associative memory; Automatic control; Control systems; Fuzzy control; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Neural networks; Steady-state; Synthesizers;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int
Conference_Location
Yokohama
Print_ISBN
0-7803-2461-7
Type
conf
DOI
10.1109/FUZZY.1995.409917
Filename
409917
Link To Document