New results on dynamics of neutral type HCNNs with proportional delays

Yunke Deng, Chuangxia Huang and Jinde Cao

Mathematics and Computers in Simulation (MATCOM), 2021, vol. 187, issue C, 51-59

Abstract: We deal with the problem of the convergence of HCNNs (High-order Cellular Neural Networks) involving neutral type time-proportional delays and D operators in this paper. By combining Lyapunov function approach and differential inequality theory, we establish some novel assertions to check the global exponential convergence for the proposed model, which lay the foundation to devise a stable HCNNs and extend some known relevant results. Meanwhile, the outcomes of numerical simulations are highly consistent with the theoretical results.

Keywords: Convergence; Neutral type; Cellular neural networks; Proportional delay (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:187:y:2021:i:c:p:51-59

DOI: 10.1016/j.matcom.2021.02.001

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