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Event-triggered Non-fragile State Estimation for Discrete Nonlinear Markov Jump Neural Networks with Sensor Failures

  • Jianning LiEmail author
  • Zhujian Li
  • Yufei Xu
  • Kaiyang Gu
  • Wendong Bao
  • Xiaobin Xu
Article
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Abstract

This paper investigates the non-fragile state estimation problem for discrete nonlinear Markov jump neural networks(MJNNs) with sensor failures. Due to the limit communication resource, we adopt a kind of event-triggered mechanism to determine whether the sensor sampling information is sent or not. By selecting suitable Lyapunov functions, a sufficient condition is obtained to guarantee the mean-square exponential stability of the augmented system. Finally, a numerical example is given to show the effectiveness of the proposed method.

Keywords

Event-trigger mechanism Markov jump neural networks non-fragile state estimation 

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Copyright information

© ICROS, KIEE and Springer 2019

Authors and Affiliations

  • Jianning Li
    • 1
    Email author
  • Zhujian Li
    • 1
  • Yufei Xu
    • 1
  • Kaiyang Gu
    • 1
  • Wendong Bao
    • 1
  • Xiaobin Xu
    • 1
  1. 1.Institute of System Science and Control Engineering, School of AutomationHangzhou Dianzi UniversityHangzhouP. R. China

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