对具有周期时变拓扑结构的复杂动态网络,设计了自适应同步方案.在所研究的复杂动态网络中,拓扑结构是未知的.采用周期自适应学习律对未知的时变耦合参数进行估计,同时加入自适应控制策略,使得复杂动态网络的状态达到同步.通过构造复合能量函数,得到同步的一个充分条件.通过数值算例表明所提出方案的有效性.
An adaptive synchronization approach is proposed for complex dynamical networks with unknown periodically time-varying topological structures.A periodic adaptive learning mechanism is used to estimate the unknown time-varying coupling parameters.By designing adaptive controllers and constructing a composite energy function,a sufficient condition of synchronization for complex dynamical networks is achieved.Numerical example validates the effectiveness of the designed method.