Fixed-Time Synchronization of Neural Networks with Parameter Uncertainties via Quantized Intermittent Control

摘要

In this paper, we study the fixed-time synchronization (FIXTS) of neural networks (NNs) with parameter uncertainties via quantized intermittent control. Based on the intermittent control strategy and quantitative control theory, sufficient conditions are established to achieve synchronization of NNs and the synchronization time can be estimated. In addition, this paper also considers the synchronization of NNs under different situations. Finally, a simulation example is given to verify the correctness of the proposed theory.