Chinese Quarterly Journal of Mathematics ›› 2007, Vol. 22 ›› Issue (2): 195-202.

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Stability Analysis of Nonsymmetric Cellular Neural Networks

  


  1. 1. Detriment of Mathematics, Huzhou Teacher's College  2. College of Mathematics Physics and Information Science, Zhejiang Normal University 

  • Received:2004-03-23 Online:2007-06-30 Published:2023-11-01
  • About author: LI Li-ping(1974-), male, native of Linchuan, Jiangxi, a lecturer of Huzhou Toacher's College, M.S.D., engages in ordinary diferential equation and dynamic system.
  • Supported by:
     Supported by the NSF of Zhejiang Province(M103087); Supported by the Science Research Fund of Hushou Teacher’s College;

Abstract: This paper describes the problem of stability for one-dimensional Cellular Neural Networks(CNNs). A sufficient condition is presented to ensure complete stability for a class of special CNN’s with nonsymmetric templates, where the parameter in the output function is greater than or equal to zero. The main method is analysising the property of the equilibrium point of the CNNs system.


Key words: cellular neural networks, stability, equilibrium point, limit set

CLC Number: