This work studies the synchronization of the master–slave (MS) fuzzy neural networks (FNNs) with random actuator failure, where the state information of the master FNNs can be not obtained directly. To reduce the loads of the communication channel and the controller, the simultaneously impulsive driven strategy of the communication channel and the controller is proposed. On the basis of the received measurements of the master FNNs, the mixed controller consisting of observer based controller and the static controller is designed. The randomly occurred actuator failure is also considered. According to the Lyapunov method, the sufficient conditions are achieved to ensure the synchronization of the MS FNNs, and the controller gains are designed by using the obtained results. The validity of the derived results is illustrated by a numerical example.

这项工作研究了主从 (MS) 模糊神经网络 (FNN) 与随机执行器故障的同步，其中不能直接获得主 FNN 的状态信息。为减少通信通道和控制器的负载，提出通信通道和控制器的同步脉冲驱动策略。在接收到的主 FNN 测量结果的基础上，设计了由基于观测器的控制器和静态控制器组成的混合控制器。还考虑了随机发生的执行器故障。根据Lyapunov方法，获得了保证MS FNNs同步的充分条件，并利用所得结果设计控制器增益。一个数值例子说明了导出结果的有效性。