Feedback Control of the Lottery System in Theme Park

Noriaki Sakamoto

doi:doi:10.11648/j.acis.20150305.13

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Feedback Control of the Lottery System in Theme Park

Noriaki Sakamoto

Published in Automation, Control and Intelligent Systems (Volume 3, Issue 5)

Received: 4 October 2015 Accepted: 15 October 2015 Published: 28 October 2015

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Abstract

In Tokyo Disney Park, the guests must reserve the seats by a lottery to view some shows. This paper proposes the robust feedback control system to solve the problem of the lottery system. The controlled variable is winning / losing to the guests who draw the lottery, and the control logic is ON/OFF-Type Discrete Variable Structure Controller, to compensate the uncertainty of a simulation to reproduce the lottery. The simulation that input data are made using many real data shows the effectiveness of the proposed method. Next, Neural Network Model predicts the controlled result. If the bad result is predicted, the staff of the lottery system is able to take an effective measure.

Published in	Automation, Control and Intelligent Systems (Volume 3, Issue 5)
DOI	10.11648/j.acis.20150305.13
Page(s)	76-80
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Discrete Variable Structure Control, Lottery System, Theme Park, Uncertainty, Robust Control

References

[1]	Tokyo Disney Resort Official Website; http://www.tokyodisneyresort.jp/en/ (at 10/Mar/2015).
[2]	XING Yuhong, “The Research and Design of an Applied Electronic Lottery System”, Lect Notes Comput Sci, Vol. 7719, pp.653-658, 2013.
[3]	William Zame, Jie Xu and Mihaela van der Schaar, “Winning the Lottery: Learning Perfect Coordination With Minimal Feedback”, IEEE Journal of Selected Topics in Signal Processing, Vol. 7, No.5, pp. 846-857, 2013.
[4]	YANG Jun, LIU Ying, QIN Ping, LIU Antung A, “A review of Beijing's vehicle registration lottery: Short-term effects on vehicle growth and fuel consumption”, Energy Policy, Vol. 75 pp. 157-166, 2014.
[5]	Title of Invention, “LOTTERY SYSTEM AND LOTTERY INFORMATION PROCESSOR”, the name of the invention: Oriental Land Co., Ltd, The publication number assigned to the patent application by the patent office: 2005-266842 (in Japanese).
[6]	T. Iwata, M. Yamakita and K. Furuta, “PWM-Type Discrete VSS Controller for On/Off Actuator Systems”, Proc. Of the 39th IEEE Conference on Decision and Control, Sydney, Australia, Dec., pp.5131-5136, 2000.
[7]	Msc Oscar Ivan Higuera Martinez, Juan Mauricio Salamanca and Hernando Diaz Morales, “Discrete-Time Variable Structure Control for Switching Converters”, Transmission and Distribution Conference Conference and Exposition, IEEE/PES, Date 13-15 Aug, 2008
[8]	Magnus Hedlund, Janaina G. Oliveira, Hans Bernhoff, “Sliding mode 4-quadrant DCDC converter for a fywheel application”, Control Engineering Practice, Vol.21, pp.473-482, 2013.
[9]	http://www.deepdisney.com/kimagure2012.aspx, http://s.tokyodisneyresort.jp/tdl/atrc_list.htm, http://s.tokyodisneyresort.jp/tds/atrc_list.htm(at 10/Mar/2015).
[10]	N. Sakamoto, “The temperature control of the dryness fireplace by the sliding mode control”, SICE Annual Conference 2002, WA10-3, pp.5-7.
[11]	Yu-Wei. Chiu, “Machine Learning With R Cookbook - 110 Recipes for Building Powerful Predictive Models with R”, Packt Publishing - ebooks Account, March 31, 2015.
[12]	Brett Lantz, “Machine Learning with R - Second Edition”, Packt Publishing - ebooks Account, Aug 3, 2015.
[13]	R: The R Project for Statistical Computing Website; http://www.r-project.org/NeuralNetworkswithR;cran.r-project.org/web/packages/nnet/nnet.pdf (at 10/Mar/2015).

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Noriaki Sakamoto. (2015). Feedback Control of the Lottery System in Theme Park. Automation, Control and Intelligent Systems, 3(5), 76-80. https://doi.org/10.11648/j.acis.20150305.13

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ACS Style

Noriaki Sakamoto. Feedback Control of the Lottery System in Theme Park. Autom. Control Intell. Syst. 2015, 3(5), 76-80. doi: 10.11648/j.acis.20150305.13

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AMA Style

Noriaki Sakamoto. Feedback Control of the Lottery System in Theme Park. Autom Control Intell Syst. 2015;3(5):76-80. doi: 10.11648/j.acis.20150305.13

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@article{10.11648/j.acis.20150305.13,
  author = {Noriaki Sakamoto},
  title = {Feedback Control of the Lottery System in Theme Park},
  journal = {Automation, Control and Intelligent Systems},
  volume = {3},
  number = {5},
  pages = {76-80},
  doi = {10.11648/j.acis.20150305.13},
  url = {https://doi.org/10.11648/j.acis.20150305.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acis.20150305.13},
  abstract = {In Tokyo Disney Park, the guests must reserve the seats by a lottery to view some shows. This paper proposes the robust feedback control system to solve the problem of the lottery system. The controlled variable is winning / losing to the guests who draw the lottery, and the control logic is ON/OFF-Type Discrete Variable Structure Controller, to compensate the uncertainty of a simulation to reproduce the lottery. The simulation that input data are made using many real data shows the effectiveness of the proposed method. Next, Neural Network Model predicts the controlled result. If the bad result is predicted, the staff of the lottery system is able to take an effective measure.},
 year = {2015}
}

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TY  - JOUR
T1  - Feedback Control of the Lottery System in Theme Park
AU  - Noriaki Sakamoto
Y1  - 2015/10/28
PY  - 2015
N1  - https://doi.org/10.11648/j.acis.20150305.13
DO  - 10.11648/j.acis.20150305.13
T2  - Automation, Control and Intelligent Systems
JF  - Automation, Control and Intelligent Systems
JO  - Automation, Control and Intelligent Systems
SP  - 76
EP  - 80
PB  - Science Publishing Group
SN  - 2328-5591
UR  - https://doi.org/10.11648/j.acis.20150305.13
AB  - In Tokyo Disney Park, the guests must reserve the seats by a lottery to view some shows. This paper proposes the robust feedback control system to solve the problem of the lottery system. The controlled variable is winning / losing to the guests who draw the lottery, and the control logic is ON/OFF-Type Discrete Variable Structure Controller, to compensate the uncertainty of a simulation to reproduce the lottery. The simulation that input data are made using many real data shows the effectiveness of the proposed method. Next, Neural Network Model predicts the controlled result. If the bad result is predicted, the staff of the lottery system is able to take an effective measure.
VL  - 3
IS  - 5
ER  -

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Author Information

Noriaki Sakamoto

Faculty of Economics, Hosei University, Tokyo, Japan

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APA Style

Noriaki Sakamoto. (2015). Feedback Control of the Lottery System in Theme Park. Automation, Control and Intelligent Systems, 3(5), 76-80. https://doi.org/10.11648/j.acis.20150305.13

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ACS Style

Noriaki Sakamoto. Feedback Control of the Lottery System in Theme Park. Autom. Control Intell. Syst. 2015, 3(5), 76-80. doi: 10.11648/j.acis.20150305.13

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AMA Style

Noriaki Sakamoto. Feedback Control of the Lottery System in Theme Park. Autom Control Intell Syst. 2015;3(5):76-80. doi: 10.11648/j.acis.20150305.13

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@article{10.11648/j.acis.20150305.13,
  author = {Noriaki Sakamoto},
  title = {Feedback Control of the Lottery System in Theme Park},
  journal = {Automation, Control and Intelligent Systems},
  volume = {3},
  number = {5},
  pages = {76-80},
  doi = {10.11648/j.acis.20150305.13},
  url = {https://doi.org/10.11648/j.acis.20150305.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acis.20150305.13},
  abstract = {In Tokyo Disney Park, the guests must reserve the seats by a lottery to view some shows. This paper proposes the robust feedback control system to solve the problem of the lottery system. The controlled variable is winning / losing to the guests who draw the lottery, and the control logic is ON/OFF-Type Discrete Variable Structure Controller, to compensate the uncertainty of a simulation to reproduce the lottery. The simulation that input data are made using many real data shows the effectiveness of the proposed method. Next, Neural Network Model predicts the controlled result. If the bad result is predicted, the staff of the lottery system is able to take an effective measure.},
 year = {2015}
}

Copy | Download

TY  - JOUR
T1  - Feedback Control of the Lottery System in Theme Park
AU  - Noriaki Sakamoto
Y1  - 2015/10/28
PY  - 2015
N1  - https://doi.org/10.11648/j.acis.20150305.13
DO  - 10.11648/j.acis.20150305.13
T2  - Automation, Control and Intelligent Systems
JF  - Automation, Control and Intelligent Systems
JO  - Automation, Control and Intelligent Systems
SP  - 76
EP  - 80
PB  - Science Publishing Group
SN  - 2328-5591
UR  - https://doi.org/10.11648/j.acis.20150305.13
AB  - In Tokyo Disney Park, the guests must reserve the seats by a lottery to view some shows. This paper proposes the robust feedback control system to solve the problem of the lottery system. The controlled variable is winning / losing to the guests who draw the lottery, and the control logic is ON/OFF-Type Discrete Variable Structure Controller, to compensate the uncertainty of a simulation to reproduce the lottery. The simulation that input data are made using many real data shows the effectiveness of the proposed method. Next, Neural Network Model predicts the controlled result. If the bad result is predicted, the staff of the lottery system is able to take an effective measure.
VL  - 3
IS  - 5
ER  -

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