Quasisynchronization for Neural Networks With Partial Constrained State Information via Intermittent Control Approach
研究了主从神经网络在参数不匹配时的拟同步问题，利用对数量化器和轮询协议处理有限信道容量，采用间歇控制提高效率，给出了保证同步边界的充分条件和控制器设计方法。
This work addresses quasisynchronization (QS) of the master-slave (MS) neural networks (NNs) with mismatched parameters. The logarithmic quantizer and the round-robin protocol (RRP) are used to deal with the limited communication channel (CC) capacity, then the intermittent control strategy is employed to improve the efficiency of CC and the controller. A transmission-dependent controller is designed, and the synchronization error system (SES) is established. The QS with a boundary is ensured for the MS NNs by a developed sufficient condition, and the controller design method is given. A numerical simulation is given to show the effectiveness of the obtained method.