具有leakage项时滞与脉冲影响的模糊细胞神经网络指数同步

Exponential Synchronization of Fuzzy Cellular Neural Networks with Time Delay in the Leakage Term and Impulsive Effects

通过构造恰当的Lyapunov泛函并利用一些不等式分析技巧,得到了基于p-范数的耦合神经网络系统全局指数同步条件.所研究模型同时包含leakage项时滞、时变时滞和有界分布时滞,所得结果包含了之前一些文献的结论,适用范围更广泛.

Some sufficient criterion in terms of p-norm is derived to ensure the coupled fuzzy neural networks to be exponentially synchronized by constructing a suitable Lyapunov functional and utilizing some inequality techniques. The mixed time delays in our model include time delay in the leakage term, discrete and distributed time-varying delays. Therefore, our result generalized a few previous known results and the criteria derived in this paper have wider application.