Robust stability of delayed fuzzy Cohen–Grossberg neural networks Academic Article uri icon

abstract

  • In this paper, using a linear matrix inequality and a differential inequality, we obtain an exponentially robust stability criterion for interval fuzzy CohenGrossberg type neural networks with time-varying delays. The criterion can be easily applied to the design of fuzzy general neural networks. © 2010 Elsevier Ltd. All rights reserved.

author list (cited authors)

  • Huang, T.

citation count

  • 36

publication date

  • April 2011