This paper investigates the global asymptotic stability (GAS) for a class of nonlinear neural networks with multiple delays. Based on Lyapunov stability theory and the linear matrix inequality (LMI) technique, a less conservative delay-dependent stability criterion is derived. The present result is shown to be less conservative than those given in the literature.
|Number of pages||4|
|Journal||Nonlinear Analysis, Theory, Methods and Applications|
|Publication status||Published - 2007 Dec 1|
All Science Journal Classification (ASJC) codes
- Applied Mathematics