A novel self-tuning scheme for fuzzy logic elevator group controller
In this paper, an intelligent controller based on a novel self-tuning fuzzy logic framework for elevator control applications is presented. The proposed controller utilizes the measured performance data of the elevator control system i.e. average waiting time (AWT), to initiate self-tuning through t...
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my.um.eprints.126892015-02-11T06:34:17Z http://eprints.um.edu.my/12689/ A novel self-tuning scheme for fuzzy logic elevator group controller Rahim, N.A. Ping, H.W. Jamaludin, J. Q Science (General) In this paper, an intelligent controller based on a novel self-tuning fuzzy logic framework for elevator control applications is presented. The proposed controller utilizes the measured performance data of the elevator control system i.e. average waiting time (AWT), to initiate self-tuning through the adjustment of the membership functions, and the modification of the rule set. The controller's adaptation to the system's environment that is based on the system's measured performance eliminates the heavy dependence on the predicted traffic patterns for adaptation. From computer simulation, the controller's effectiveness is satisfactorily verified. IEICE-Inst Electronics Information Communications Eng 2010 Article PeerReviewed Rahim, N.A. and Ping, H.W. and Jamaludin, J. (2010) A novel self-tuning scheme for fuzzy logic elevator group controller. IEICE Electronics Express, 7 (13). pp. 892-898. |
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Q Science (General) Rahim, N.A. Ping, H.W. Jamaludin, J. A novel self-tuning scheme for fuzzy logic elevator group controller |
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In this paper, an intelligent controller based on a novel self-tuning fuzzy logic framework for elevator control applications is presented. The proposed controller utilizes the measured performance data of the elevator control system i.e. average waiting time (AWT), to initiate self-tuning through the adjustment of the membership functions, and the modification of the rule set. The controller's adaptation to the system's environment that is based on the system's measured performance eliminates the heavy dependence on the predicted traffic patterns for adaptation. From computer simulation, the controller's effectiveness is satisfactorily verified. |
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Article |
author |
Rahim, N.A. Ping, H.W. Jamaludin, J. |
author_facet |
Rahim, N.A. Ping, H.W. Jamaludin, J. |
author_sort |
Rahim, N.A. |
title |
A novel self-tuning scheme for fuzzy logic elevator group controller |
title_short |
A novel self-tuning scheme for fuzzy logic elevator group controller |
title_full |
A novel self-tuning scheme for fuzzy logic elevator group controller |
title_fullStr |
A novel self-tuning scheme for fuzzy logic elevator group controller |
title_full_unstemmed |
A novel self-tuning scheme for fuzzy logic elevator group controller |
title_sort |
novel self-tuning scheme for fuzzy logic elevator group controller |
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IEICE-Inst Electronics Information Communications Eng |
publishDate |
2010 |
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http://eprints.um.edu.my/12689/ |
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1643689353285730304 |