Finite-Time Projective Synchronization of Neural Networks with Uncertainties via Adaptive Fault-Tolerant Control
Yuejiao Zhang, Qiang Li · 2021
In this study, problems of finite-time projective synchronization of neural networks with uncertainties are investigated using adaptive fault-tolerant control methods. When the system parameters are known or unknown, different adaptive controllers are designed. The fault-tolerant controller is designed to ensure that the drive response system can achieve synchronization in finite time. Finally, the validity of the method and the correctness of the theoretical results are verified by two kinds of numerical simulation.