提出了一种新的具有未知时变参数复杂动态网络同步的自适应学习控制方法.运用重新参数化技术,设计周期时变参数的自适应学习律、常参数的更新律以及自适应控制策略确保同步误差渐近收敛.通过构造复合能量函数给出同步的一个充分条件.最后给出一个复杂网络的例子验证所提方法的有效性.
A new adaptive learning control approach for the synchronization of complex dynamical networks with unknown time-varying parameters is proposed.By using the reparameterization technique,the adaptive learning laws of periodically time-varying and constant parameters and an adaptive control strategy are designed to ensure the asymptotic convergence of the synchronization error.Then,a sufficient condition of the synchronization is given by constructing a composite energy function.Finally,an example of the complex network is used to verify the effectiveness of proposed approach.