Exponential stability of delayed fuzzy cellular neural networks with diffusion Academic Article uri icon

abstract

  • The exponential stability of delayed fuzzy cellular neural networks (FCNN) with diffusion is investigated. Exponential stability, significant for applications of neural networks, is obtained under conditions that are easily verified by a new approach. Earlier results on the exponential stability of FCNN with time-dependent delay, a special case of the model studied in this paper, are improved without using the time-varying term condition: d(t)/dt < . 2005 Elsevier Ltd. All rights reserved.

published proceedings

  • CHAOS SOLITONS & FRACTALS

author list (cited authors)

  • Huang, T.

citation count

  • 94

complete list of authors

  • Huang, Tingwen

publication date

  • February 2007