Quasisynchronization for Neural Networks With Partial Constrained State Information via Intermittent Control Approach
Hongxia Rao, Liwei Zhao, Yong Kang Xu, Zenghong Huang, Renquan Lu · IEEE Transactions on Cybernetics · 2021
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.