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.
Highlights
In Tokyo Disney Park (Disneyland and DisneySea) [1], the seats of some shows (“Once Upon a Time”, “One Man's Dream II”, “Big Band Beat”) are reserved by a lottery
We cannot apply the former method to this lottery system, because the guests have to wait for the result
We removed the record having an abnormal data or lack data.) The time-series variations of guests who draw the lottery in Tokyo Disney Park have a variety of choices, for example, there are many guests who come in the evening
Summary
In Tokyo Disney Park (Disneyland and DisneySea) [1], the seats of some shows (“Once Upon a Time”, “One Man's Dream II”, “Big Band Beat”) are reserved by a lottery. If each party thinks that the vacant seats become zero early, they try to draw the lottery as fast as possible and it causes congestion. It is unfair for the guests who enter in the evening. The parties who draw the lottery stay in the place where the lottery machines are lining up until the winning-time begins. Automation, Control and Intelligent Systems 2015; 3(5): 76-80 controllers, we use ON/OFF-Type Discrete Variable Structure Controller [6, 7, 8] This system doesn’t solve Problem (2), in addition, we propose that our new lottery system has NN (Neural Network Model) learning all simulation results. The output can warn the lottery staff of a possibility that many seats are remained to be vacant at the show time
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