摘要
In this paper, the problem of stochastic stability of neutral-type neural networks with Markovian jumping parameters is considered. By choosing an mode-dependent Lyapunov-Krasovskii functional, novel delay-dependent stochastically stable conditions are derived in terms of linear matrix inequalities. Numerical examples are given to illustrate the effectiveness of the proposed approach.
- 出版日期2013-11-23
- 单位南京大学