NDLI: Self-tuning fuzzy-based dispatching strategy for elevator group control systems

Content Provider	IEEE Xplore Digital Library
Author	Jamaludin, J. Rahim, N.A. Hew Wooi Ping
Copyright Year	2008
Description	Author affiliation: Dept. of Electr. Eng., Univ. of Malaya, Kuala Lumpur (Jamaludin, J.; Rahim, N.A.; Hew Wooi Ping)
Abstract	Fuzzy logic is recognized as an intelligent approach to complex problems demanding fulfillment of several criteria. A smart solution for an elevator group control system is one complex problem. This paper discusses a fuzzy logic dispatching strategy for elevator group control that uses a self-tuning fuzzy logic controller to tune membership functions and adjust fuzzy rule sets. Computer simulation evaluates, in three traffic peaks, the strategypsilas effectiveness. The results, when compared with other strategies that use conventional controllers, show considerable overall improvements in both waiting time and riding time.
Starting Page	339
Ending Page	344
File Size	411532
Page Count	6
File Format	PDF
ISBN	9788995003893
DOI	10.1109/ICCAS.2008.4694668
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-14
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	ICROS
Subject Keyword	Artificial neural networks fuzzy logic Control systems Elevators self-tuning Fuzzy logic Fuzzy control Stochastic systems Elevator group control Automatic control controllers Dispatching Communication system traffic control Artificial intelligence
Content Type	Text
Resource Type	Article

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Self-tuning fuzzy-based dispatching strategy for elevator group control systems