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A New Sampled-Data State Estimator for Neural Networks of Neutral-Type with Time-Varying Delays

  • Xianyun Xu
  • Changchun Yang
  • Manfeng Hu
  • Yongqing Yang
  • Li Li
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9377)

Abstract

This paper is concerned with the sampled-data state estimation problem for neural networks of neutral-type with time-varying delays. A new state estimator was designed based on the sampled measurements. The sufficient condition for the existence of state estimator is derived by using the Lyapunov functional method. A numerical example is given to show the effectiveness of the proposed estimator.

Keywords

state estimation sampled measurements neutral-type neural network delay 

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© Springer International Publishing Switzerland 2015

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Authors and Affiliations

  • Xianyun Xu
    • 1
  • Changchun Yang
    • 1
  • Manfeng Hu
    • 1
  • Yongqing Yang
    • 1
  • Li Li
    • 1
  1. 1.School of ScienceJiangnan UniversityWuxiPR China

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