NDLI: Novel RS-FNN control policy in hybrid elevator group control system with destination registration

Content Provider	IEEE Xplore Digital Library
Author	Yuge Xu Fei Luo
Copyright Year	2008
Description	Author affiliation: Coll. of Autom. Sci. & Eng., South China Univ. of Tech., Guangzhou (Yuge Xu; Fei Luo)
Abstract	Elevator group control system with destination registration (DR-EGCS) has become hotter in these years. This paper analyzes and obtains the new characteristic attribution in destination registration elevator group control system, firstly builds up a new hybrid elevator group control system with destination registration model is built up based on hybrid system theory and cellular automata. And then aiming at the problem of how to mine the huge complicated, redundant and incomplete original elevator data effectively, one novel elevator group control method combined rough set theory and fuzzy neural network is present. The simulation results show that this proposed hybrid DR-EGCS model is correct and effective. Novel elevator group control method can improve elevator system performance and adapt complicated traffic flow in variable elevator traffic flow conditions. This control method also can be applied to other similar fields.
Starting Page	23
Ending Page	28
File Size	235669
Page Count	6
File Format	PDF
ISBN	9781424422388
DOI	10.1109/ICWAPR.2008.4635744
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-08-30
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy control Analytical models Hybrid System Traffic control Rough Set Fuzzy neural networks Control systems Elevators Elevator Group Control System With Destination Registration Floors Cellular Automata
Content Type	Text
Resource Type	Article

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