基于自适应容错控制的不确定神经网络有限时间投影同步

Yue-Ping Zhang, Qiang Li
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引用次数: 0

摘要

本文采用自适应容错控制方法,研究了具有不确定性的神经网络的有限时间投影同步问题。当系统参数已知或未知时,设计不同的自适应控制器。为了保证驱动响应系统在有限时间内实现同步,设计了容错控制器。最后,通过两种数值模拟验证了方法的有效性和理论结果的正确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Finite-Time Projective Synchronization of Neural Networks with Uncertainties via Adaptive Fault-Tolerant Control
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.
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