Identification of the Belousov-zhabotinskii Reaction Using Cellular Automata Models

نویسندگان

  • Yifan Zhao
  • Stephen A. Billings
  • Alexander F. Routh
چکیده

New methods of identifying the transition rule of a Belousov–Zhabotinskii (BZ) reaction directly from experimental data using cellular automata (CA) models are investigated. The experimental set-up and new techniques for image pre-processing to ensure the identification of representative models are discussed including noise reduction, pixel and color calibration. Two kinds of models, the Greenberg–Hasting model (GHM) and the polynomial CA model are studied in detail. It is shown that the results of identifying a real BZ reacting system are very encouraging and the predicted patterns compare well with the imaged patterns both visually and quantitatively.

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عنوان ژورنال:
  • I. J. Bifurcation and Chaos

دوره 17  شماره 

صفحات  -

تاریخ انتشار 2007