| Title |
Delay-dependent Stability Criteria for Uncertain Stochastic Neural Networks with Interval Time-varying Delays |
| Authors |
권오민(Kwon, Oh-Min) ; 박주현(Park, Ju-Hyun) ; 이상문(Lee, Sang-Moon) |
| Keywords |
Interval time-varying delays ; Linear matrix inequalities ; Lyapunov method ; Stochastic neural networks |
| Abstract |
In this paper, the problem of global asymptotic stability of uncertain stochastic neural networks with delay is considered. The delay is assumed to be time-varying and belong to a given interval. Based on the Lyapunov stability theory, new delay-dependent stability criteria for the system is derived in terms of LMI(linear matrix inequality). Three numerical examples are given to show the effectiveness of proposed method. |