ニューラルネットワークを利用した適応型エレベータ群管理システム

DOI Web Site 被引用文献6件 参考文献18件

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タイトル別名
  • Adaptive Optimal Elevator Group Control by Use of Neural Networks
  • ニューラル ネットワーク オ リヨウシタ テキオウガタ エレベータ グンカンリ

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説明

The control of a group of elevators is a difficult stochastic control problem, because of the random and unpredictable passenger arrivals. Here we propose a new method for constructing an adaptive controller for stochastic systems, by using a combination of neural networks and an on-line reinforcement learning based on stochastic approximation. This method combines an efficient supervised learning with a general reinforcement adaptation. The supervised learning is used to prepare the controller with domain-specific knowledge, and for initializing it to emulate an existing controller. The reinforcement learning is used for adaptation, with a special attention paid to allow online operation. The new method is used to develop an adaptive, optimal elevator group controller. Results of simulation tests indicate the feasibility of using the proposed method for industrial applications.

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