JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2016, Vol. 51 ›› Issue (5): 130-135.doi: 10.6040/j.issn.1671-9352.0.2015.545

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Mean square exponential stability of memristor-based stochastic neural networks with S-type distributed delays

WANG Chang-hong, WANG Lin-shan*   

  1. School of Mathematical Science, Ocean University of China, Qingdao 266100, Shandong, China
  • Received:2015-11-18 Online:2016-05-20 Published:2016-05-16

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Abstract: The mean square exponential stability of a class of memristor-based stochastic neural networks with S-type distributed delays is investigated. A criterion for the stability is given by using Lyapunov functional method and stochastic analysis technique. An example is given to show the feasibility of the theoretical results.

Key words: memristor-based neural networks, S-type distributed delays, Lyapunov functional, exponential stability in mean square, stochastic analysis

CLC Number: 

  • O175
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[7] ZHANG Ruo-jun and WANG Lin-shan . Global asymptotic robust stability of interval cellular neural networks with S-type distributed delays [J]. J4, 2007, 42(2): 39-42 .
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