Literature DB >> 18244522

An analysis of global asymptotic stability of delayed cellular neural networks.

S Arik1.   

Abstract

In this paper, a new sufficient condition is given for the uniqueness and global asymptotic stability of the equilibrium point for delayed cellular neural networks (DCNNs). This condition imposes constraints on the feedback and delayed feedback matrices of a DCNN independently of the delay parameter. This result is also compared with the previous results derived in the literature.

Year:  2002        PMID: 18244522     DOI: 10.1109/TNN.2002.1031957

Source DB:  PubMed          Journal:  IEEE Trans Neural Netw        ISSN: 1045-9227


  3 in total

1.  Exponentially convergent state estimation for delayed switched recurrent neural networks.

Authors:  Choon Ki Ahn
Journal:  Eur Phys J E Soft Matter       Date:  2011-11-21       Impact factor: 1.890

2.  New stability criteria for uncertain neural networks with interval time-varying delays.

Authors:  Haixia Wu; Wei Feng; Xinyuan Liang
Journal:  Cogn Neurodyn       Date:  2008-09-24       Impact factor: 5.082

3.  Existence and global asymptotic stability criteria for nonlinear neutral-type neural networks involving multiple time delays using a quadratic-integral Lyapunov functional.

Authors:  Yousef Gholami
Journal:  Adv Differ Equ       Date:  2021-02-17
  3 in total

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