具有马尔可夫交换和多延迟的中性型神经网络的有限时间同步

Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering Pub Date : 1900-01-01 DOI:10.5220/0008855703730377

Hui-Chung Shi, Dongbing Tong

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引用次数: 0

摘要

本文研究了具有马尔可夫切换和多时延的中性型神经网络的有限时间同步问题。利用李雅普诺夫稳定性理论，得到了ntnn有限时间同步的充分条件。然后，采用合适的更新律设计自适应控制。最后，通过数值仿真验证了所得结果的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Finite-Time Synchronization for Neutral-Type Neural Networks with Markovian Switching and Multi-Delays

: In this brief, the problem of the finite-time synchronization is considered for neutral-type neural networks (NTNNs) with the Markovian switching and multi-delays. Sufficient conditions are acquired for the finite-time synchronization of NTNNs by Lyapunov stability theory. Then, the adaptive control is designed by a suitable updated law. Finally, a numerical simulation is given to illustrate the effectiveness of the obtained result.

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Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering

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