Identification of the belousov-zhabotinskii reaction using cellular automata models

New methods of identifying the transition rule of a Belousov-Zhabotinskii (BZ) reaction directlyfrom experimental data using cellular automata (CA) models are investigated. The experimentalset-up and new techniques for image pre-processing to ensure the identification of representativemodels 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 isshown that the results of identifying a real BZ reacting system are very encouraging and thepredicted patterns compare well with the imaged patterns both visually and quantitatively.

International Journal of Bifurcation and Chaos, 17(05), 1687–1701. World Scientific Publishing