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
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;
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.1995.410031
