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
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;
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
DOI :
10.1109/FUZZY.1995.409917
