Abstract
This paper is devoted to the problem on the finite-time stabilization (FS) of stochastic neural networks (SNNs) with time-varying delay (TVD) via impulsive control. By structuring the proper Lyapunov-Krasovskii functional and with the help of average impulsive interval method (AII), some sufficient conditions to ensure the FS of SNNs with TVD are derived in term of LMIs. Compared with the impulsive sequence with uniform distribution, our results are more suitable for the practicalities. Finally, numerical simulations are shown to verify the effectiveness of our results.
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