Finite-Time Synchronization of Coupled Neutral-Type Neural Networks With Stochastic Disturbances and Uncertainties
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摘要: 研究了具有时滞、不确定性和随机扰动的中立型耦合神经网络的有限时间同步问题.在Lyapunov稳定性理论的基础上，结合不等式技术得到了有限时间同步判据.接着构造合适的状态反馈控制器，使主从系统实现了有限时间同步.最后，通过一个数值仿真验证了所提出理论的有效性.Abstract: The finite-time synchronization problems were solved for coupled neutral-type neural networks with stochastic disturbances and uncertainties. Based on the Lyapunov stability theory and the inequality techniques, the finite-time synchronization criterion was proposed for this system. Then the finite-time synchronization was realized for the master-slave system through the construction of an appropriate state feedback controller. At last, a numerical simulation was given to verify the effectiveness of the proposed theory.
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图 4 控制器(5)作用下的误差系统状态轨迹
Figure 4. State trajectories of the error system with controller (5)
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