PWARX Traffic Network Hybrid Controller Based on 0-1 Classification

نویسندگان

  • YoungWoo Kim
  • Tatsuya Kato
  • Shigeru Okuma
  • Tatsuya Narikiyo
چکیده

In this paper, we propose a new design method for the traffic network hybrid feedback controller. In the proposed method, the PWARX classifier describes the nonlinear feedback control law of the traffic control system that the output of the previously developed controller is reproduced applying the 0-1 classifications of the PWARX systems. The proposed method is a hierarchical classification procedure, where the cluster splitting process is follows by the piecewise fitting process to compute the cluster guard and dynamics, and the cluster updating process to find new center points of the clusters. The usefulness of the proposed method is verified through some numerical experiments.

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تاریخ انتشار 2008