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Open AccessArticle

Image Entropy for the Identification of Chimera States of Spatiotemporal Divergence in Complex Coupled Maps of Matrices

1
Center for Nonlinear Systems, Kaunas University of Technology, Studentu 50-146, LT-51368 Kaunas, Lithuania
2
Department of Applied Mathematics, Kaunas University of Technology, Studentu 50-318, LT-51368 Kaunas, Lithuania
3
School of Electrical and Information Engineering, Jinan University, 206 Qianshan Road, Zhuhai 519070, China
*
Authors to whom correspondence should be addressed.
Entropy 2019, 21(5), 523; https://doi.org/10.3390/e21050523
Received: 29 March 2019 / Revised: 17 May 2019 / Accepted: 20 May 2019 / Published: 24 May 2019
(This article belongs to the Special Issue Computation in Complex Networks)
Complex networks of coupled maps of matrices (NCMM) are investigated in this paper. It is shown that a NCMM can evolve into two different steady states—the quiet state or the state of divergence. It appears that chimera states of spatiotemporal divergence do exist in the regions around the boundary lines separating these two steady states. It is demonstrated that digital image entropy can be used as an effective measure for the visualization of these regions of chimera states in different networks (regular, feed-forward, random, and small-world NCMM). View Full-Text
Keywords: chimera states; coupled map lattice; nilpotent matrix chimera states; coupled map lattice; nilpotent matrix
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Smidtaite, R.; Lu, G.; Ragulskis, M. Image Entropy for the Identification of Chimera States of Spatiotemporal Divergence in Complex Coupled Maps of Matrices. Entropy 2019, 21, 523.

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