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Globally Exponential Stability of Memristive Neural Networks With Time-varying Delays and Synchronous Switching

Jiang Yinlu Li Chuandong

ZHAO Guo-Rong, HAN Xu, LU Jian-Hua. A Decentralized Fusion Estimator Using Data-driven Communication Strategy Subject to Bandwidth Constraints. ACTA AUTOMATICA SINICA, 2015, 41(9): 1649-1658. doi: 10.16383/j.aas.2015.c150025
Citation: Jiang Yinlu, Li Chuandong. Globally Exponential Stability of Memristive Neural Networks With Time-varying Delays and Synchronous Switching. ACTA AUTOMATICA SINICA, 2017, 43(8): 1465-1469. doi: 10.16383/j.aas.2017.e150066
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引用本文: 蒋音露, 李传东. 带有时变时滞和同步切换的忆阻神经网络的全局指数稳定性. 自动化学报, 2017, 43(8): 1465-1469. doi: 10.16383/j.aas.2017.e150066

Globally Exponential Stability of Memristive Neural Networks With Time-varying Delays and Synchronous Switching

Funds: 

Natural Science Foundation Project of Chongqing CSTC cstc2014jcyjA40014

the National Natural Science Foundation of China 61374078

More Information
    Author Bio:

    Yinlu Jiang received the B.S.degree in communication engineering from Southwest University of Science and Technology, Sichuan, China, in 2013, and presently she is studying for M.S.degree in Signal and Information Processing at Southwest University, Chongqing, China.Her research interests include neural networks, memristive systems, and impulsive dynamical systems.E-mail:jiang yinlu@126.com

    Corresponding author: Chuandong Li received the B.S.degree in applied mathematics from Sichuan University, Chengdu, China in 1992, and M.S.degree in operational research and control theory and Ph.D.degree in computer software and theory from Chongqing University, Chongqing, China, in 2001 and 2005, respectively.He has been a Professor at the College of Electronic and Information Engineering, Southwest University, Chongqing, China, since 2012, and has been the IEEE Senior Member since 2010.From November 2006 to November 2008, he served as a Research Fellow in the Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, Hong Kong, China.He has published about more than 100 journal papers.His research interests include computational intelligence, neural networks, memristive systems, chaos control, and synchronization, and impulsive dynamical systems.Corresponding author of this paper.E-mail:licd@cqu.edu.cn

带有时变时滞和同步切换的忆阻神经网络的全局指数稳定性

doi: 10.16383/j.aas.2017.e150066
基金项目: 

Natural Science Foundation Project of Chongqing CSTC cstc2014jcyjA40014

the National Natural Science Foundation of China 61374078

  • Recommended by Associate Editor Zhanshan Wang
    摘要: 本文建立并研究了一类具有时变时滞和不同切换机制的忆阻神经网络.利用李雅普诺夫稳定性理论,得到了该神经网络平衡点一致稳定性的充分条件,该充分条件直接有效地反映了时变时滞对稳定性的影响.数值模拟结果验证了理论结果的有效性.

  • Fig.  1  Time response curves for memristive neural network with time-varying delays and synchronous switching.

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  • 收稿日期:  2015-06-07
  • 录用日期:  2015-10-13
  • 刊出日期:  2017-08-20

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