Optimal Elevator Group Control via Deep Asynchronous Actor–Critic Learning

2020 ◽  
Vol 31 (12) ◽  
pp. 5245-5256 ◽  
Author(s):  
Qinglai Wei ◽  
Lingxiao Wang ◽  
Yu Liu ◽  
Marios M. Polycarpou
2012 ◽  
Vol 132 (11) ◽  
pp. 1016-1023 ◽  
Author(s):  
Shingo Kobori ◽  
Naohiko Suzuki ◽  
Masafumi Iwata ◽  
Sakurako Yamashita

2012 ◽  
Vol 155-156 ◽  
pp. 653-657
Author(s):  
Yu Lin Dong ◽  
Xiao Ming Wang

Elevator group control system (EGCS) is a complex optimization system, which has the characteristics of multi-objective, uncertain, stochastic random decision-making and nonlinear. It is hard to describe the elevator group control system in exact mathematic model and to increase the capability of the system with traditional control method. In this paper, we aim at the characters of elevator group control system and intelligent control, introduce the system's control fashion and performance evaluate guidelines and propose an elevator group control scheduling algorithm based on fuzzy neural network.


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