研究一类具有混合时滞和leakage时滞的随机反应扩散神经网络在间歇控制下的全局指数同步问题.构造适当的Lyapunov泛函,结合随机分析的技巧,得到系统在周期性间歇控制下实现指数同步的条件.与已有的结论相比,本结果去掉了对混和时滞的限制条件,降低了同步条件的保守性.数值模拟验证了所得结论的有效性.%A class of neural networks with stochastic perturbation,spacial diffusion,mixed time-varying delays and leakage delay is investigated.By means of Lyapunov functional theory and stochastic analysis technique,exponential synchronization criterion is derived for the neural networks based on periodically intermittent control.The proposed criterion improves the previous known results in literature and removes the restrictions on the mixed time-varying delays.Numerical simulations are carried out to illustrate the feasibility of the obtained theoretical results.
展开▼
