DocumentCode
3500509
Title
Elevator group control system with a fuzzy neural network model
Author
Nakai, Shoji ; Kubo, Susumu ; Imasaki, Naoki ; Yoshitsugu, Tatsuo ; Kiji, J.-I. ; Endo, Tsunekazu
Author_Institution
Toshiba Corp., Tokyo, Japan
Volume
5
fYear
1995
fDate
20-24 Mar 1995
Firstpage
37
Abstract
We have developed a high-performance elevator group control system EJ-1000FN with a performance tuning function, which employs a fuzzy neural network as a performance forecasting model of the elevator system. The performance tuning function utilizes the forecasting model in order to search the optimal control parameters which give the best system performance in the present traffic situation
Keywords
fuzzy control; fuzzy neural nets; intelligent control; lifts; optimal control; elevator; fuzzy neural network; group control system EJ-1000FN; optimal control parameters; performance forecasting model; performance tuning function; Artificial intelligence; Control system synthesis; Control systems; Demand forecasting; Elevators; Fuzzy control; Fuzzy neural networks; Optimal control; Predictive models; Traffic control;
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.1995.410031
Filename
410031
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