This paper investigates the global delay-dependent robust stability in the mean square for uncertain stochastic neural networks with time-varying delay. The activation functions are assumed to be globally Lipschitz continuous. Based on a linear matrix inequality approach, globally delay-dependent robust stability criterion is derived by introducing some relaxation matrices which, when chosen properly, lead to a less conservative result. Two numerical examples are given to illustrate the effectiveness of the method.
|Number of pages||7|
|Journal||Journal of Marine Science and Technology|
|Publication status||Published - 2010 Feb 1|
All Science Journal Classification (ASJC) codes
- Ocean Engineering
- Mechanics of Materials
- Mechanical Engineering