4.3 Article Retracted Publication

被撤回的出版物: New Delay-Dependent Exponential H∞ Synchronization for Uncertain Neural Networks With Mixed Time Delays (Retracted Article)

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSMCB.2009.2024408

关键词

H-infinity performance; linear matrix inequality (LMI); neural networks (NNs); synchronization; time delay; uncertainties

资金

  1. National Natural Science Foundation of China [60825303]
  2. 973 Project [2009CB320600]
  3. Foundation for the Author of National Excellent Doctoral Dissertation of China [2007E4]
  4. Heilongjiang Outstanding Youth Science Fund [JC200809]

向作者/读者索取更多资源

This paper establishes an exponential H-infinity synchronization method for a class of uncertain master and slave neural networks (MSNNs) with mixed time delays, where the mixed delays comprise different neutral, discrete, and distributed time delays. The polytopic and the norm-bounded uncertainties are separately taken into consideration. An appropriate discretized Lyapunov-Krasovskii functional and some free-weighting matrices are utilized to establish some delay-dependent sufficient conditions for designing delayed state-feedback control as a synchronization law in terms of linear matrix inequalities under less restrictive conditions. The controller guarantees the exponential H-infinity synchronization of the two coupled MSNNs regardless of their initial states. Detailed comparisons with existing results are made, and numerical simulations are carried out to demonstrate the effectiveness of the established synchronization laws.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.3
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据