Quasi-Synchronization of Discrete-Time Neural Networks with Randomly Occurred Uncertainty and Parameter Mismatch
Hongxia Rao, Yiting Gan, Yong Kang Xu, Fen Liu · 2018
This paper addresses the quasi-synchronization for master-slave neural networks (NNs) with parameter mismatch, where the connection weight matrix of master NNs is randomly disturbed by a norm-bounded uncertainty. A sufficient condition of quasi-synchronization for the synchronization error system in the mean sense is established, and the controller design algorithm is obtained based on this sufficient condition. Finally, the proposed result is illustrated by a numerical example.